About Hightouch

Hightouch’s mission is to empower everyone to take action on their data.  We’ve pioneered the Composable Customer Data Platform (CDP), which helps companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and busisness operations. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.

Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

Hundreds of companies use Hightouch, including Spotify, Ramp, Grammarly, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About The Role

Hightouch is looking for an Enterprise Account Executive (EAE) to join our rapidly growing team. We’re a small team and looking for someone with at least 4 years of Sales experience. We are looking for a self-starter with a passion for technology and people.

The right candidate is someone who has a proven track record of success who is looking to further their career with a fast growing startup. The ideal person will be both coachable, have a strong work ethic and entrepreneurial spirit. 

What We're Looking For

• 4+ years experience in complex enterprise SaaS sales
• Experience building pipeline through outbound and land and expand in the DACH region
• Must have fluent German language skills
• Must be based outside of Germany, in EMEA. 
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition and humility.
• Excellent verbal and written communication skills.
• Ability to adapt to an ever-changing work environment
• Be a self-starter

Bonus if you have 

• Background in Martech and/or Data 

The role 

We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world.

As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players.

You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.

What you’ll be doing

• Designing, building and maintaining reliable data pipelines and processing components used across the business
• Writing clean, maintainable code and improving performance, data quality and cost efficiency over time
• Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery
• Contributing to technical design, estimation and planning discussions to help the team deliver effectively
• Reviewing code and sharing feedback to support guidelines and collective code quality
• Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard
• Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve
• Learning and applying new tools, technologies and approaches as the platform and team continue to grow
• Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working

What we are looking for

Must have

• Experience as a data engineer (or similar), delivering production-ready, scalable code
• Strong SQL skills and experience with relational and analytical databases
• Programming experience in one or more of Python, Java, C or Spark-based technologies (PySpark, Spark)
• Experience contributing to data platforms handling complex, high-volume data (Databricks)
• Experience with data warehouse or analytical platforms (for example Snowflake or Teradata)
• Understanding of performance and cost considerations in data processing systems
• Strong problem-solving skills and ability to handle multiple priorities
• Clear communication skills, including explaining technical concepts to non-technical partners
• Experience working in UNIX or Linux environments, including shell scripting
• Curiosity and eagerness to learn new tools and technologies
• Eligibility to work in the UK, with ability to travel occasionally to the US and Japan

Nice to have

• Familiarity with additional data processing or integration technologies
• Experience with graphical or low-code data development tools (for example Ab Initio)
• Understanding of data modelling concepts
• Experience translating business requirements into technical solutions

This is a 6-month contractor role, with the potential to extend on a month-to-month basis. This role is fully remote, however your available working hours must overlap with London 9am - 6pm or New York 9am - 6pm.

About Us

Reachdesk is the first truly end-to-end SaaS global gifting and swag platform, helping B2B companies create meaningful connections with prospects, customers, and employees while driving measurable ROI.

We believe gifting is more than just a transaction. It is about building genuine human connections that fuel business growth. Whether engaging prospects, celebrating customers, or recognising employees, our platform makes it easy to deliver personalised gifts, branded swag, and memorable events and brand experiences at scale through automated sourcing, storage, and global delivery.

Trusted by many of the most recognised names in technology and SaaS, Reachdesk integrates seamlessly with marketing, sales, and HR tech stacks and is powered by a global team with hubs in New York, London, and Lisbon.

About the Role

We are looking for an experienced contractor to support Reachdesk on a range of customs compliance projects across our global operations.

This is a hands-on, high-impact contract role for someone who can quickly assess risk, improve processes, work across multiple stakeholders, and help us strengthen the way we manage customs and cross-border trade compliance in practice. You will partner closely with teams across Operations, Logistics, Marketplace, Product, Legal, and Finance, as well as external brokers, carriers, and warehouse partners.

This role is best suited to someone who is practical, detail-oriented, commercially aware, and comfortable working independently in a fast-moving international environment.

What You’ll Do

Customs Compliance Projects

• Support Reachdesk’s customs compliance work across import/export activity, customs documentation, product classification, valuation, country of origin, duties, and related operational controls.

• Review existing customs processes and help design, improve, and document scalable compliance procedures.

• Partner with internal teams and external logistics providers, customs brokers, carriers, and 3PLs to support compliant shipment flows and customs clearance.

• Help investigate and resolve customs issues such as holds, clearance delays, documentation gaps, or shipment exceptions.

• Assist with compliance for restricted items, sanctions-related considerations, and broader cross-border trade requirements where relevant.

• Identify compliance risks within current and proposed operating models, and recommend practical mitigations.

Cross-Functional Support

• Work closely with Operations, Logistics, Marketplace, Product, Legal, and Finance to embed customs compliance into day-to-day processes and project decisions.

• Support project work connected to new shipping lanes, markets, warehouse flows, sourcing models, or operational changes.

• Help create and maintain internal documentation, including SOPs, guidance notes, controls, process maps, and audit-ready records.

• Provide clear, practical guidance to internal stakeholders on customs-related requirements and best practices.

Data, Controls, and Documentation

• Support the maintenance and improvement of key customs-related data, including product classifications, origin information, shipment documentation standards, and related compliance records.

• Help assess whether tools, automation, or systems changes could improve customs compliance workflows and reporting.

• Assist with audit preparation, evidence gathering, remediation tracking, and general compliance project management where needed.

About You

• Significant experience in customs compliance, global trade compliance, import/export compliance, or a closely related cross-border trade role.

• Strong working knowledge of customs requirements, import/export controls, HS classification, valuation, duties, origin, and international shipment documentation.

• Experience working with customs brokers, freight forwarders, carriers, 3PLs, or other logistics partners.

• Comfortable operating in a project-based role where priorities may evolve and where you are expected to work independently.

• Able to spot risks, solve problems pragmatically, and balance compliance requirements with commercial and operational realities.

• Strong documentation and process-design skills, with the ability to turn ambiguity into clear and workable procedures.

• Confident working cross-functionally with legal, finance, operations, product, and external partners.

• Experience in e-commerce, logistics, supply chain, fulfilment, or other high-volume cross-border environments is strongly preferred.

• Familiarity with VAT or indirect tax concepts is helpful, but this role is primarily focused on customs compliance projects.

Working Arrangement

• 6-month contractor engagement, with the potential to extend on a month-to-month basis.

• Fully remote.

• Open globally, provided you can reliably overlap with London or New York working hours.

Perks & Benefits

• Competitive salary
• A super-friendly, collaborative working culture populated by fun and dedicated people

We are an equal opportunity employer and value diversity at Reachdesk. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, disability status, or any other protected characteristic.

We process personal information submitted as part of your application in accordance with the Reachdesk Candidate Privacy Notice. Please review it here.

Time commitment: 1 FTE       

Location: Hybrid working in our London office (3 days Mon/Wed/Thu, 2 days remote) preferred, with some flexibility based on individual needs. We are at 140 Borough High Street, SE1 1LB

Reporting to: Mark Jenkins, CEO

About Paloma

In 2024, our founders, Mark and Darshak, were shocked to find that children needing an NHS autism or ADHD assessment were waiting 4-10 years for these assessments. Delayed assessments result in children being more likely to develop mental health conditions and fall behind in education. Furthermore, the much-needed pre/post-assessment support (outside of ADHD medications) is typically not funded by the NHS. 

These long waits have built up due to increased recognition and understanding of neurodevelopmental conditions and a lack of investment and innovation within the NHS to meet the growing demand.

Mark and Darshak, with their 25 years of combined NHS experience, including building services that have treated over 1,000,000 patients in obesity & ophthalmology, founded Paloma to change this. Our mission is to make NHS autism and ADHD assessments and care accessible within 4 weeks of a GP referral, and, in turn, help every child achieve their potential.

As of May 2026, we have successfully reduced waits to 3 months by;

• Taking a product-first approach to redesign the care pathway to give families a more consumer-like experience of care
• Our in-house product, engineering and AI team building our own autism and ADHD specific electronic patient record and AI documentation tool to free clinicians from their significant documentation burden to re-focus on supporting families
• Investing in expanding the clinician workforce and upskilling them in new ways of working

We are proud that Paloma is:

• Loved by families, with 4.9 out of 5 Trustpilot and Google ratings
• Care Quality Commission (CQC) registered and quality-focused
• Clinically-led, with a team of 130 people, including over 80 clinicians supporting families through their assessment journey. We are hiring 100+ more roles over the next 12 months.
• A community of passionate, mission-driven and innovative team members who challenge the status quo and test and learn from new ideas and approaches.
• Backed by leading healthcare investors Triple Point and Heal Capital

What’s next?

• Whilst we have reduced wait times, it is estimated that up to 500,000 children are still waiting for an NHS autism or ADHD assessment. We won’t rest until this comes down.
• We want to build new services to support families and children diagnosed with autism or ADHD who feel lost after their assessments when the NHS is no longer there for them.

The Opportunity

We are looking for a commercially astute and data-driven Finance & BI Lead to partner with our co-founders (our CEO and Exec Chair) and lead Paloma’s Finance & BI function through our current rapid growth.

You will build a first-principles financial understanding of our organisation to support our functional leaders in achieving their goals and budgets, and partner with our co-founders to create those budgets and report to our Board and investors. 

You will lead our BI team, ensuring robust internal and external reporting to our NHS partners.

You will line manage a team of three: a Central Operations Associate, a Business Intelligence (BI) Analyst, and a BI Associate, and take on management of our outsourced accountant.

This role offers unique finance & BI leadership responsibilities that will directly impact our ability to reduce autism and ADHD wait times for families. With success in the role, you can progress to our Head of Finance & BI.

About you

You are someone who loves high-growth situations, where you can make a positive difference in the world. From a skills perspective, you are:

• A curious and proactive self-starter who seeks to understand concepts deeply and continuously improve processes
• A fast learner with strong problem-solving skills and financial acumen, able to work independently with minimal direction
• An effective communicator and stakeholder manager, skilled at building strong relationships and influencing outcomes
• Detail-oriented and 100% accuracy-focused
• Comfortable working with ambiguity and at pace - the problem may not always be clearly defined, but you are able to identify what will add value and then deliver solutions
• You want to be part of an always-learning environment that embraces software and AI tools, and you will help us go further and faster with your positive and collaborative attitude.

Responsibilities:

Within Finance:

• Stakeholder partnership: Build strong relationships with senior managers, understand their functions, and become a trusted advisor
• Insight generation: Interpret complex data sources to produce meaningful business insights. You won't just report the ‘what’; you will explain the ‘why’ and the ‘what next?’
• Business cases: Evaluate efficiency initiatives and commercial opportunities with a targeted focus on driving ROI
• Forecasting/Budgeting: partnering with our co-founders and VP Operations, generate reliable, data-driven forecasts whilst proactively challenging assumptions
• Formal reporting: Lead the month-end and year-end process in partnership with our outsourced accountant, ensuring a high level of accuracy and helping the Exec and Board understand their performance through data
• Cash management, payments and forecasting: Lead on our cash management and payments, including payroll and suppliers

Within BI:

• Setup: Partner with our VP of Engineering to ensure robust data pipelines from our Data Warehouse
• Internal reporting: Support all functions with commercial and operational data
• External reporting: Ensure Paloma delivers all NHS reporting on time to a high standard

Overall:

• Mentoring; Support in the coaching and development of your team, providing direction and leadership to them in their career development
• Continuous Improvement; Being an advocate for challenging the status quo, relishing the challenge of optimising workflows and creative in your approach to maximising time spent on value-add topics

Qualifications and experience:

Required:

• A qualified accountant with 3 years of post-qualification experience
• Proven experience in a fast-paced environment managing simultaneous deadlines
• Demonstrated business impact, for example, coaching leaders to achieve budgets
• An aptitude for managing large/complex datasets – a good working knowledge of Google Workspace tools is required, whilst SQL exposure would be advantageous
• The independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time

Desirable:

• Experience in tech-enabled healthcare services

Why join Paloma?

You will be part of a mission-driven organisation that’s transforming access to autism and ADHD care in England. For all employees, we offer:

• A strong and positive culture that prioritises team building, transparency, and career development. This includes protected time and budget for team connection and learning.
• Comprehensive compensation, including:
  • Salary of £85,000 per year
  • Annual salary reviews, ensuring they are competitive
  • 5% employer pension contribution
  • Equity compensation through Share Options in Paloma Health 
  • Private Medical Insurance and Employee Assistance Programme
  • Home Office Equipment Allowance
  • Professional Registration Fees Allowance
• A unique annual leave benefits package which includes:
  • 37 days of annual leave. This is 28 standard days, plus eight bank holidays, plus your birthday off.
  • Option to buy an additional 5 days per year (giving a maximum of 42 days)
  • Where required, 2 days per year of special leave, for events that can happen in life, whether personal or family-related
• Additional benefits include:
  • A premium performance company laptop
  • NHS discounts, including the Blue Light Card (as we are an NHS provider)

Equality & Diversity

Paloma Health is an equal opportunity employer committed to diversity and inclusion in the workplace and throughout the application process. We do not discriminate based on any protected characteristic.

Accommodations

We’re glad to accommodate candidates who need adjustments throughout the hiring process. We encourage you to be open about the adjustments you need, so we can adapt our interview process accordingly.

Safer Recruitment & Pre-Employment Checks

Paloma Health ensures that supporting people to be safe is at the heart of our work and a key priority across all areas of the organisation. As part of our pre-employment checks, you will be asked to complete a Disclosure and Barring Service (DBS) check. Depending on your role within the business, this will be at either an Enhanced, Standard, or Basic level. We are committed to safer recruitment practices and expect all applicants to share our dedication to safeguarding. Our recruitment processes are designed to ensure we appoint individuals who align with our values and will help maintain a safe and supportive environment for everyone we work with.

Application process

Please apply via our website. We understand that applying for a new job requires significant effort, and we appreciate your time. We look forward to reviewing your application.

Join us and be part of our journey to revolutionise access to NHS autism and ADHD care!

The Role...

Soho Home has an exciting opportunity for a Sales Coordinator to join the team.

This is a great opportunity for a dynamic sales driven individual interested to work on growing meaningful commercial partnerships looking to contribute to the long-term brand strategy and make a difference in the product life cycle.

The Sales Coordinator is a well organised and dynamic individual, able to work efficiently across departments and eager to contribute to the achievement of agreed sales goals.

This role reports to the Senior Global Sales Manager as part of the wholesale team and will assist in the process of building and maintaining outlets and off-price revenue channels. The role ensures smooth coordination between internal teams ( Sales , Logistics , Finance and Merchandising)

• Support the Senior Global Sales Manager with the full admin and execution functions of the outlet and off-price business, including account management when B2B parties.
• Review stock weekly to suggest, plan and execute selling opportunities accordingly.
• Raise orders and issue confirmations, communicate delivery deadlines and follow up the PO journey from warehouse to customer.
• Provide customer invoices and credit and ensure all relevant portals are always updated.
• Attend the daily logistics WIP to communicate weekly priorities and work with the warehouse teams to ensure seamless delivery of orders through to clients within communicated timelines.
• Work closely with Operations and Finance, to own stock position for excess, clearance as well as full price to identify selling opportunities.
• Support the Senior Global Sales Manager with the production of sample sale events and off-price B2C activities.
• Work collaboratively with Logistics, Operations, Merchandising and Finance to ensure customer requirements are met and live orders are accurate.
• Communicate clearly and effectively with external partners delivering excellent customer service and responding to all queries in a timely manner.
• Build and maintain relationships with account counterparts.
• Actively seeking solutions for excess stock sales as well as maintaining a regular cadence of opportunities with existing partners.
• Anticipate risk on the weekly / monthly / quarterly performance and raise this to leadership
• Delivering trade notes each week to provide visibility of orders taken and dispatched week on week.
• Work with the Global Senior Sales Manager to create quarterly reports

What you will need to be successful in this role

• 3+ Years' experience in a similar role
• Homeware experience advantageous
• Ability of driving sales growth
• Good Excel and numerical skills
• Can do Attitude and ability to problem solve
• Experience managing luxury wholesale accounts globally
• Results orientated with an ability to adapt quickly to changing circumstances.
• Effective communicator at all levels (verbal & written)
• Highly organised individual with attention to detail and ability to prioritise workloads

Analytics Engineer 

About the Role

We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform.

In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company.

Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture.

Key Responsibilities 

Data Modeling & Transformation

• Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake.
• Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures.
• Apply best practices in modularity, documentation, and testing to ensure long-term reliability.

Pipeline Ownership

• Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring.
• Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools.

Enablement & Collaboration

• Partner with analysts, data scientists, and business teams to define and deliver trusted data assets.
• Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.
• Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams.

What You’ll Need

Required

• Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment.
• Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques.
• Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning).
• Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions.
• Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks.

Preferred

• Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance.
• Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration.
• Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight).
• Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan

What’s in it for you

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Data Analytics Architect (Snowflake & dbt Expert)
Location: Western Europe

We're looking for a highly skilled Data Analytics Architect to serve as the cornerstone of our Go-To-Market (GTM) data platform and accelerate our ability to deliver actionable insights. In this role, you will take full ownership of our Snowflake environment and dbt projects to enhance and maintain our existing technical foundation. You will serve as the strategic bridge between our leadership in North America and our engineering teams in India, translating complex business objectives into high-performing, code-based data architectures. As our primary Snowflake and dbt expert, you will not only maintain our "warehouse-first" strategy but also pioneer the integration of modern AI tools like Claude Code into our development lifecycle to drive unprecedented efficiency.

To be successful in this role, you must be a technical powerhouse who is equally comfortable writing production-grade SQL/Python and presenting data strategy to stakeholders. You are a fast, clear, and independent thinker who thrives on the "get things done" mentality of a high-growth environment. You possess a deep understanding of modern data stack best practices—specifically version-controlled development and end-to-end orchestration—and you are never satisfied with the status quo. You excel at collaborating across time zones, navigating ambiguity without formal authority, and maintaining technical excellence under pressure. You are passionate about automation, detail-oriented in your data modeling, and have superb communication skills to make complex data lineages easy to understand for everyone in the organization.

As an Data Analytics Architect, you’ll get to:

• Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management.
• Architect dbt Foundations: Lead the development of our dbt project, establishing standards for modeling, testing, documentation, and CI/CD pipelines.
• Bridge Global Teams: Act as the primary technical point of contact between North American leadership and India-based resources, ensuring seamless requirement translation and project execution across time zones.
• Operationalize AI: Integrate AI-assisted development (Claude Code, LLMs) into the workflow to automate boilerplate tasks and accelerate time-to-value for new data products.
• Transform GTM Data: Replace and enhance the "Warehouse-First" models, centralizing data from Salesforce, product usage, and marketing tools into a unified, clean source of truth.
• Ensure Data Integrity: Establish and own data quality monitoring, observability, and alerting frameworks to ensure business-critical dashboards remain reliable and accurate.

You’ll be a good fit if you have:

• 5-7+ years of experience in Data Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale.
• Mastery of Snowflake architecture, administration, and performance optimization.
• Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management.
• Demonstrated success working within a distributed team, specifically coordinating between Western Europe, North America, and India.
• Fluent in version control (Git), SQL, and Python, with a strong focus on building maintainable, "code-first" data solutions.
• Experience (or high comfort level) using Claude Code and other AI development tools to enhance productivity and code quality.
• Understanding of SaaS metrics and Go-To-Market data flows (Salesforce, Marketo, Revenue Ops) is highly preferred.
• Native or near-native English fluency, with the ability to explain technical debt, architectural trade-offs, and data lineage to non-technical leaders.

The Impact You’ll Be Contributing to Moloco: 

Moloco's Commerce Media (MCM) organisation powers Retail Media Platforms for retailers globally, enabling them to build and scale advertising businesses powered by machine learning. As customer count and technical complexity grow, we are evolving our support model to deliver faster, deeper, and more scalable technical expertise.

The Technical Solutions Engineer (TSE) is a newly established role at the heart of this evolution. The TSE serves as the Regional Tier 2/3 technical escalation point — taking ownership of complex issues escalated from Frontline Support Specialists (FSS) and driving them to resolution. Beyond firefighting, the TSE plays a foundational role in building the operational infrastructure of our support organisation: designing playbooks, developing automation tools, and establishing the metrics that measure how effectively we serve our customers.

The Opportunity

• Own Tier 2/3 technical escalations from Frontline Support Specialists (FSS), triaging and resolving complex issues across ad serving, data pipelines, and ML infrastructure.
• Perform structured Root Cause Analysis (RCA) on production issues — including campaign delivery failures, budget pacing anomalies, fill rate degradation, and ROAS fluctuations — using service logs and operational metrics.
• Lead incident response for production ads service disruptions: scoping impact, coordinating with internal engineering teams (Ad Serving, Data Platform, ML), and driving toward resolution within SLA.
• Author postmortem documents and track remediation action items to prevent recurrence.
• Build and maintain diagnostic playbooks and runbooks that enable FSS to self-resolve a growing share of issues over time.
• Develop internal tooling and automation scripts for issue detection, diagnosis, and reporting.
• Define and track operational KPIs — including MTTR, escalation rate, and recurrence rate — to continuously measure and improve support efficiency.
• Partner closely with the Customer Engineering team to ensure smooth issue handoffs, shared customer context, and aligned escalation workflows.
• Contribute to internal and external documentation to scale knowledge across the organization.
• Review technical integrations during new platform onboarding and surface potential operational risks early.

How Do I Know if the Role is Right For Me?

• 6+ years of professional experience in technical support, solutions engineering, or software engineering.
• Strong troubleshooting skills and ability to analyze large-scale datasets — able to independently write and interpret complex queries against large-scale data warehouse environments.
• Hands-on experience with API integrations and distributed systems — including REST API debugging, log analysis, and understanding how service components interact at scale.
• Demonstrated experience handling technical escalations — breaking down complex problems methodically and driving them to resolution through a structured approach.
• Strong written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
• Experience in AdTech or retail media domains (DSP, SSP, ad serving, attribution) is a strong plus.
• Familiarity with monitoring and observability tools such as Datadog.
• Experience as a founding member or early contributor in building new teams, systems, or operational processes (zero-to-one experience)
• Familiarity with scripting, AI tools for automation, process enhancement
• Fluent in English. Multilingual communication skills (preferred) for global support environments.

The Impact You’ll Be Contributing to Moloco: 

Moloco's Commerce Media (MCM) organisation powers Retail Media Platforms for retailers globally, enabling them to build and scale advertising businesses powered by machine learning. As customer count and technical complexity grow, we are evolving our support model to deliver faster, deeper, and more scalable technical expertise.

The Technical Solutions Engineer (TSE) is a newly established role at the heart of this evolution. The TSE serves as the Regional Tier 2/3 technical escalation point — taking ownership of complex issues escalated from Frontline Support Specialists (FSS) and driving them to resolution. Beyond firefighting, the TSE plays a foundational role in building the operational infrastructure of our support organisation: designing playbooks, developing automation tools, and establishing the metrics that measure how effectively we serve our customers.

The Opportunity

• Own Tier 2/3 technical escalations from Frontline Support Specialists (FSS), triaging and resolving complex issues across ad serving, data pipelines, and ML infrastructure.
• Perform structured Root Cause Analysis (RCA) on production issues — including campaign delivery failures, budget pacing anomalies, fill rate degradation, and ROAS fluctuations — using service logs and operational metrics.
• Lead incident response for production ads service disruptions: scoping impact, coordinating with internal engineering teams (Ad Serving, Data Platform, ML), and driving toward resolution within SLA.
• Author postmortem documents and track remediation action items to prevent recurrence.
• Build and maintain diagnostic playbooks and runbooks that enable FSS to self-resolve a growing share of issues over time.
• Develop internal tooling and automation scripts for issue detection, diagnosis, and reporting.
• Define and track operational KPIs — including MTTR, escalation rate, and recurrence rate — to continuously measure and improve support efficiency.
• Partner closely with the Customer Engineering team to ensure smooth issue handoffs, shared customer context, and aligned escalation workflows.
• Contribute to internal and external documentation to scale knowledge across the organization.
• Review technical integrations during new platform onboarding and surface potential operational risks early.

How Do I Know if the Role is Right For Me?

• 6+ years of professional experience in technical support, solutions engineering, or software engineering.
• Strong troubleshooting skills and ability to analyze large-scale datasets — able to independently write and interpret complex queries against large-scale data warehouse environments.
• Hands-on experience with API integrations and distributed systems — including REST API debugging, log analysis, and understanding how service components interact at scale.
• Demonstrated experience handling technical escalations — breaking down complex problems methodically and driving them to resolution through a structured approach.
• Strong written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
• Experience in AdTech or retail media domains (DSP, SSP, ad serving, attribution) is a strong plus.
• Familiarity with monitoring and observability tools such as Datadog.
• Experience as a founding member or early contributor in building new teams, systems, or operational processes (zero-to-one experience)
• Familiarity with scripting, AI tools for automation, process enhancement
• Fluent in English. Multilingual communication skills (preferred) for global support environments.

We are looking for a Field Logistics Associate to join our rapidly growing team in London, United Kingdom. The role of the Field Logistics Associate is one who manages and coordinates the movement of hardware, resources, & people at designated locations and/or in austere environments supporting our customers wherever they may be. The challenges you will encounter are innumerable and unpredictable, but you will be expected to take ownership of delivering the solution.

The logistics team has built a white glove service that is responsible for developing and executing Anduril’s strategy to deliver hardware and software to our customers where it is both mission critical and logistically challenging. This will require a breadth of understanding logistics, the ability to work across teams seamlessly, a deep appreciation for details, and the ability to learn new subject matters quickly.  As you execute on service delivery for our customers and team members, you have the unique opportunity to improve and grow our logistics capabilities. You will be charged with helping Anduril teams solve exceptional challenges, unblocking issues, and establishing procedures, all with the intention of making sure our customers missions are being met.

WHAT YOU’LL DO:

• Collaborate cross functionally with business leaders, program managers, and external stakeholders to ensure project is executed successfully & on time.
• Act as the advance party / remain behind element to assist with packouts for demos, deployments, exercises, and tradeshows.
• Coordinate transportation logistics & work alongside our logistics providers
• Provide white glove service for delivery & acceptance of Anduril hardware to its destination
• Proactively identify, propose, and fix logistical processes
• Handling, storing, packing, labeling, and prepping dangerous goods for commercial shipping

REQUIRED QUALIFICATIONS:

• 3+ years of experience in material management, inventory control, warehouse roles in an aerospace and/or defense industry.
• Must be able to lift 25 kgs
• Able to work in austere environments, climb ladders, use of basic hand & power tools
• Able to operate independently and in teams
• High travel rate, both domestic and international. Must have valid passport.
• Willingness to travel to remote regions of the world for up to two weeks at a time
• Reliable, organized, and detail-oriented with excellent verbal & written communication skills
• Demonstrate ability to manage multiple projects, prioritization, and planning
• Experience being hands-on and boots on the ground in the warehouse & in the field with proven skills in both process and equipment troubleshooting, and ability to adapt to constantly changing environments

PREFERRED QUALIFICATIONS

• Forklift certification
• Prior military or overseas contracting experience
• IATA, IMDG, and 49 CFR trained

We are hiring a hands-on Data Quality & Governance Engineer to build and run the governance that underpins our Data & AI function.

You will sit at the intersection of engineering, governance, and risk. Your focus is to build quality, metadata, lineage, and control capabilities into our data and AI platforms, and fix issues where data is created. The goal: reduce downstream issues and give LHV a clear, single view of how critical data and AI assets are governed.

You will work closely with the Head of Data & AI, engineers, AI/ML team, risk, and technology partners to turn policy into automated patterns across the platform.

 What You Will Do

Data Quality and Observability by Design:

• Implement automated data quality checks, alerts, and observability for critical datasets, data products, and AI features (Python, SQL, dbt, similar tools).
• Work with source system teams to identify root causes and fix data at source.
• Embed controls in pipelines and transformations (schema, referential integrity, freshness, PII, data contracts).
• Define and monitor data SLIs/SLOs (availability, latency, freshness, completeness) and feed these back to teams.
• Integrate quality and observability signals into monitoring and incident tooling (e.g. Coralogix, Jira)

Build and Run Governance Operations:

• Help design and operate the Data & AI governance “spine” that connects policies, data, AI, and risk.
• Implement and maintain:
  • An enterprise data catalogue and glossary
  • End‑to‑end lineage from source to warehouse/lake to products, models, and reports
  • Ownership, stewardship, and criticality metadata aligned to the Data & AI Stewardship Model
• Ensure governance tooling reflects how data actually flows.
• Link governed assets to policies, controls, and risks, giving a single view of what data we have, where it comes from, how it is used, and who is accountable.

Enable Safe, Governed AI and Analytics:

• Make core data assets “AI ready” through strong provenance, documentation, and quality standards.
• Integrate governance with AI services and model lifecycle tooling so:
  • Models and AI use cases are registered, owned, and linked to their data
  • Training data, features, and outputs have clear lineage back to source
  • Data quality and model monitoring (performance, drift, bias) can be traced end to end
• Partner with Data Scientists, ML Engineers, and Analysts to design repeatable, governed patterns for feature stores, training datasets, and AI outputs.

Support Stewardship, Risk and Compliance:

• Work with Data Owners, Stewards, Custodians, and AI Stewards to:
  • Identify and prioritise Critical Data Elements (CDEs) and high‑impact AI use cases
  • Capture ownership, definitions, quality rules, and control requirements
• Implement practical solutions for:
  • Classification, retention, and access control (e.g. GDPR, banking regulation)
  • Audit trails and evidence for key data flows and AI services
• Provide clear views of where critical data comes from, how it flows, and how well it is controlled, including:
  • Lineage, quality coverage, and control effectiveness
  • Inputs to the Data & AI Governance Forum
  • Regulatory and internal assurance materials

Technical guidance:

• Provide technical guidance and code review for governance and quality patterns.
• Contribute to shared practices for governance as code, CI/CD, testing, and observability for data and AI workloads.
• Work in an agile environment with product, engineering, risk, and business stakeholders to turn governance requirements into deliverable work.
• Help evaluate and introduce governance and observability tooling (catalogues, lineage, data observability, AI governance).

 What We Are Looking For

Essential:

• Significant experience within in a data‑focused engineering role (e.g. Data Engineer, Analytics Engineer, Data Platform Engineer, Governance Engineer) with strong emphasis on data quality, governance, or observability.
• Experience with financial data or in financial services or other regulated industries.
• Strong hands-on Python and SQL for checks, automation, and integrations.
• Proven experience implementing automated data quality rules and monitoring (dbt tests, custom SQL/Python checks, data observability tools) and using them to drive fixes at source.
• Practical understanding of data governance (catalogue, lineage, ownership/stewardship, CDEs, access control, retention) and how to operationalise it in production.
• Experience with cloud‑native data platforms, ideally AWS (e.g. Redshift, S3, Glue, Lambda, IAM) or similar.
• Familiarity with modern data modelling and transformation (e.g. dbt, dimensional modelling, star/snowflake schemas).
• Experience with CI/CD and infrastructure as code for data systems (e.g. GitHub Actions, CodeBuild/CodePipeline, Terraform).

Desirable:

• Experience with data governance platforms or catalogues (e.g. Collibra, Atlan, Collate, Alation, OpenMetadata).
• Experience with data observability or monitoring tooling (e.g. Monte Carlo, Coralogix, custom metrics/alerting).
• Exposure to ML/AI pipelines, model registries, feature stores, and monitoring (e.g. MLflow, Evidently).
• Experience defining and operating data products with SLAs, contracts, and clear ownership.

Role Title: Data & AI Intern 

Location of internship: 1 Angel Court, London EC2R 7HJ

Length of Internship: 8 weeks

Start Date: 15th June - 7th August 2026

Schedule/Hours: Monday to Friday, 9:00 - 17:00

Student Type: Penultimate or Final Year students

This role is particularly suited for students studying: Data Science, Computer Science, Business Analytics, Information Systems, Mathematics, Engineering, Economics, or related subjects at undergraduate or postgraduate level

About the Role: 

This internship is designed to give early-career talent structured exposure to how Data and AI supports the bank's priorities. The work focuses on data quality, governance, operational resilience, dashboards, reporting, and safe AI enablement. It suits a student who enjoys both technical learning and understanding how data supports business decisions.

Main duties & responsibilities:

• Learn how Data and AI supports the bank's priorities and wider business outcomes.
• Build or extend a simple data dashboard.
• Review selected Airflow and data warehouse pipelines to understand how data moves through the organisation.
• Use a simple data and governance checklist to assess areas such as ownership, alerting, and naming clarity.
• Take part in a small data and AI governance exercise.
• Build low-code AI agents using templates in a safe, structured environment.
• Present back to the team what you have learned and what opportunities you have identified.

Students will gain: 

• Exposure to real Data and AI work in a banking environment.
• Better understanding of data quality, governance, and operational resilience.
• Experience with dashboards, pipelines, and data storytelling.
• Introductory experience with safe AI enablement and agent-building.
• Better understanding of ownership, controls, and practical business use cases.
• Experience communicating technical and business insights clearly.

Person specification:

• Strong analytical and problem-solving skills.
• Confidence working with data in Excel, SQL, Python, BI tools, or similar.
• Interest in data flows, dashboards, reporting, or AI tools.
• Ability to understand structured processes and translate findings into clear outputs.
• Curiosity and willingness to learn.
• Good communication skills.
• Strong attention to detail.
• Ability to work independently and collaboratively.
• Accountability and openness to feedback.

Nice to have: 

• Familiarity with dashboards, databases, or reporting tools.
• Exposure to Python, SQL, Airflow, cloud tools, or low-code/no-code tools.
• Interest in AI governance, data governance, or operational resilience.
• Ability to bridge technical and business thinking.

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

The Staff Data Engineer will own and evolve Monolith’s platform data services and ETL offerings — the data onboarding, preparation, and lineage capabilities that turn fragmented, real‑world engineering data into production‑ready training and inference pipelines. You’ll partner with Product, Engineering, and Customer‑facing teams to deeply understand client data challenges and translate them into scalable, self‑serve data platform features.

About the Role:

We’re seeking a Staff Data Engineer who can own Monolith’s data platform surface end‑to‑end: from offline batch pipelines and large historical backfills to low‑latency, real‑time streaming data flows that power online inference and feedback loops. You’ll define and drive our data architecture, champion data quality and lineage, and decide how customer data moves through Monolith from raw ingestion to governed, observable, and reproducible training sets.

You’ll primarily work with internal teams (Product, Customer Success, Forward‑Deployed Engineers, Software Engineers, Data Scientists), and step in as a domain expert when clients need deeper guidance.

In this role, you will:

• Own Monolith’s Data Platform & ETL Surface
• Lead the architecture and evolution of core data services for ingestion, transformation, validation, and lineage across training and inference workloads.
• Design and maintain end‑to‑end data models and schemas that make complex engineering, simulation, and telemetry data discoverable, reusable, and performant.
• Define standards, contracts, and APIs for how product teams and integrations interact with data services.
• Design & Operate Batch + Streaming Pipelines
• Build and operate batch pipelines for large‑scale historical imports, retraining data sets, and migrations from legacy environments.
• Design and implement streaming pipelines (e.g., using Kafka or similar technologies) for event‑driven or real‑time ingestion and transformation that support online inference, monitoring, and feedback loops.
• Select and integrate off‑the‑shelf, industry‑proven ETL / ELT technologies (e.g., workflow orchestrators, ingestion frameworks, transformation engines) and own their rollout and long‑term operation.
• Champion Data Lineage, Governance & DataOps
• Implement and maintain end‑to‑end data lineage from source systems to derived features and model artifacts, enabling reproducibility, compliance, and faster debugging.
• Establish DataOps practices: CI/CD for pipelines, observability (metrics, logs, traces), and operational runbooks for data incidents.
• Help define data quality and governance standards in partnership with Security, Compliance, and Customer Success, including support for privacy and regulatory needs (e.g., GDPR‑aligned flows and data residency discussions).
• Partner Across Monolith & CoreWeave
• Work with Monolith product and engineering teams (platform, agents, experiments, reliability) to expose data services that unlock new user workflows and AI capabilities.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage storage, compute, and observability for reliable data flows.
• Serve as a technical escalation point for forward‑deployed and customer‑facing engineers when questions go deeper than their playbooks (e.g., architecture diagrams of data flow, lineage, and governance constraints).

Who You Are:

• Experience & Level
• Typically 8+ years of experience as a Data Engineer / Data Platform Engineer (or similar), including ownership of production data pipelines and architectural decisions.
• Demonstrated Staff‑level impact: leading critical data domains and cross‑team initiatives.
• Data Engineering & Architecture
• Deep experience designing end‑to‑end data architectures that cover ingestion, storage, transformation, serving, and observability.
• Strong, hands‑on experience with both batch and streaming pipelines:
• Batch: scheduled workloads, historical backfills, retraining pipelines.
• Streaming: Kafka or similar event streaming platforms plus real‑time transformation patterns for low‑latency consumption.
• Proficiency with SQL and at least one major analytical database or data warehouse (e.g., PostgreSQL or similar) including schema design and performance tuning
• Proficiency with Spark, Ray or similar distributed data processing frameworks.
• Solid understanding of data modeling (event logs, star schemas, feature tables) in multi‑tenant SaaS or platform contexts.
• Tooling & Ecosystem
• Hands‑on with data orchestration and ETL tooling (e.g., Airflow, dbt, Dagster, Temporal, or equivalents) and able to evaluate and recommend tools that fit our needs.
• Experience integrating and operating off‑the‑shelf data infrastructure (not just bespoke systems), including rollout, migration plans, and ongoing ownership.
• Familiarity with cloud infrastructure and containerization (Docker, Kubernetes, at least one major cloud provider) for deploying and scaling data workloads.
• Data Lineage, Quality & DataOps
• Extensive experience implementing data lineage solutions and using them for debugging, compliance, and auditability.
• Strong background in data quality: validation frameworks, monitoring, and guardrails that prevent bad data from reaching downstream consumers.
• Proficiency with DevOps / DataOps practices: infra‑as‑code, CI/CD for pipelines, runbooks, and participation in on‑call / incident response for data issues.
• Programming, Systems & Communication
• Strong programming skills in Python for building data services, transformations, and platform integrations, with an emphasis on maintainability and tests.
• Comfortable working in service‑oriented architectures, reasoning about data contracts, SLAs, and failure modes across services.
• Clear written and verbal communicator who can:
• Explain data architectures and trade‑offs to internal stakeholders, and
• Occasionally join client conversations as a deep domain expert to answer questions about data flows, security, and governance (e.g., with CIOs, heads of data, or security counterparts), while day‑to‑day client interaction is handled by forward‑deployed teams.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines feed experimentation, training, and inference workflows at scale.
• Background with time‑series, simulation, or experimental data (e.g., physical test benches, sensors, engineering simulations).
• Familiarity with feature stores, experiment tracking systems, or model registries and their integration with upstream pipelines.
• Experience designing data systems for regulated or safety‑critical domains, including privacy, residency, and retention considerations.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. If some of this describes you, we’d love to talk:

• Product‑minded – you design data platforms and pipelines that are intuitive to use and unlock real workflows for engineers and customers.
• Systems thinker – you enjoy mapping complex data flows, understanding failure modes, and building robust, observable systems.
• Pragmatic – you balance solid engineering with shipping value quickly, knowing when to invest in abstractions and when to deliver incremental improvements.
• Collaborative owner – you partner well across engineering, product, and customer‑facing teams, and you feel responsible for outcomes, not just code.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

The Senior DataOps Engineer II will own and drive all things data observability and operations across our client estate — building the practices, tooling, and culture that make Monolith’s data flows debuggable, auditable, and safe to evolve. You’ll sit at the intersection of platform engineering, data engineering, and reliability, implementing end‑to‑end lineage and DataOps practices while mentoring data producers and consumers on how to manage data as a first‑class product.

You’ll partner closely with Monolith’s Product, Engineering and forward‑deployed teams, as well as with CoreWeave’s infrastructure and AI platform groups, to turn fragmented, real‑world engineering data into well‑governed, observable, and operationally robust pipelines powering our SaaS platform and client‑specific deployments.

About the Role:

We’re seeking an Senior DataOps Engineer II who can act as the hands‑on owner for Monolith’s data observability and operational surface: from batch and streaming pipelines running on our platform, through to the lineage, quality, and runbooks that keep customer environments healthy.

You’ll define and roll out DataOps practices (CI/CD, infra‑as‑code, data SLOs, incident response) across the Monolith estate, implement end‑to‑end data lineage and observability, and serve as the go‑to mentor for engineering teams and client‑facing colleagues on best‑practice data management.

In this role, you will:

• Own Monolith’s Data Observability & Operations Surface
• Design and implement the end‑to‑end observability stack for data workloads (metrics, logs, traces, and data‑quality signals) across batch and streaming pipelines.
• Define and maintain operational SLOs/SLAs for critical data flows powering training, inference, and analytics, and ensure they are measurable and actionable.
• Build dashboards, alerts, and runbooks that allow engineers and on‑call responders to quickly detect, triage, and remediate data incidents.
• Standardise “golden paths” for how teams instrument pipelines, expose health signals, and respond to data‑related failures.

• Implement Data Lineage, Quality & Governance
• Deploy and maintain end‑to‑end data lineage for key domains — from client sources through transformations to features, models, and downstream analytics  so teams can debug, audit, and reason about change.
• Define and roll out data quality checks (schema, freshness, completeness, distribution, drift) and ensure failures integrate cleanly into alerting and incident workflows.
• Partner with Security, Compliance, and customer‑facing teams to encode data governance requirements (e.g., retention, residency, access controls) into our pipelines and tooling.
• Help shape metadata models and catalog conventions so that producers and consumers can reliably discover, understand, and use shared datasets.

• Enable DataOps Practices Across Teams
• Establish CI/CD patterns for data pipelines and related infrastructure, including testing strategies, promotion workflows, and change‑management guardrails.
• Drive adoption of infra‑as‑code for data infrastructure (e.g., pipeline orchestration, storage, observability components), reducing manual drift across environments.
• Define and continuously improve DataOps processes — incident response, post‑incident review, change review, on‑call rotations — with a focus on learning rather than blame.
• Evaluate and integrate best‑of‑breed DataOps and observability tooling where it accelerates our teams, balancing build vs. buy pragmatically.

• Partner Across Monolith, CoreWeave & Clients
• Work with Monolith platform, data, agent, and reliability teams to expose observability and lineage as shared services and patterns other engineers can build on.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage underlying storage, compute, networking, and observability in service of robust data flows.
• Serve as a technical escalation point for forward‑deployed and customer‑facing engineers when data issues cross service boundaries or require deeper architectural insight.
• Mentor data producers (product teams, integrations, forward‑deployed engineers) and data consumers (data scientists, analysts, client engineers) on resilient schemas, contracts, and operational practices.

Who You Are:

• Experience & Level
• Typically 5–6+ years of experience in DataOps, Data Engineering, DevOps/SRE for data platforms, or similar roles, including end‑to‑end ownership of production data pipelines and their operations.
• Proven track record of operating at Senior IC scope: leading cross‑team initiatives, introducing new practices/tooling, and improving reliability at the platform level.

• DataOps, Pipelines & Tooling
• Strong hands‑on experience designing, deploying, and operating data pipelines in production (batch and/or streaming), including failure modes, retries, and backfills.
• Practical experience with data orchestration and ETL/ELT tooling (e.g., Airflow, Dagster, dbt, Temporal, or similar) and comfort evaluating and integrating new tools where appropriate.
• Solid SQL and/or Spark skills and experience with at least one major analytical database or warehouse; familiarity with time‑series / telemetry data is a plus.

• Observability, Lineage & Data Quality
• Extensive experience implementing data observability — metrics, logging, tracing, dashboards, and alerting — for data‑centric workloads.
• Hands‑on work with data quality frameworks and/or observability platforms to monitor freshness, completeness, schema changes, and anomalies.
• Experience deploying and using data lineage or metadata/catalog solutions, and applying them to debugging, compliance, and change‑impact analysis.

• Platform, Infrastructure & Automation
• Comfortable working in containerised, cloud‑native environments (Kubernetes plus at least one major cloud provider); experience with GPU‑ or compute‑intensive workloads is a bonus.
• Strong automation mindset: infra‑as‑code, CI/CD, and configuration management for data infrastructure and observability components.
• Proficient in Python for building tooling, pipeline glue, and platform integrations; additional languages are a plus.

• Collaboration, Mentorship & Communication
• Clear communicator who can explain complex data flows and failure modes to both deeply technical and non‑specialist audiences.
• Experience mentoring engineers and data practitioners on better data management, observability, and operational hygiene — through documentation, examples, reviews, and office hours.
• Comfortable working in a fast‑moving, high‑ambiguity environment where we balance rapid iteration with the safety and reliability demanded by enterprise engineering clients.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines power experimentation, training, and inference at scale.
• Background with test, simulation, or time‑series data (e.g., physical test benches, battery labs, automotive/aerospace R&D).
• Familiarity with feature stores, experiment tracking, or model registries and their interaction with upstream data pipelines.
• Prior work in multi‑tenant SaaS platforms, especially those with strong compliance, observability, and uptime requirements.
• Experience supporting or partnering closely with forward‑deployed / professional services teams in complex customer environments.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who bring diverse experiences — even if you don’t tick every single box. Here are a few qualities we’ve found compatible with our team. If some of this sounds like you, we’d love to talk:

• Data‑obsessed operator – You care deeply about making data systems observable, predictable, and easy to reason about, not just “working most of the time.”
• Systems thinker – You enjoy mapping complex data flows across services, understanding failure modes, and designing for graceful degradation and rapid recovery.
• Pragmatic – You know when to build the ideal abstraction and when to ship the smallest change that meaningfully reduces risk or toil.
• Collaborative mentor – You get energy from helping other teams level up their data practices, and you can influence without heavy process or authority.
• Owner’s mindset – You feel responsible for the outcomes of the platform as a whole, not just the code you write, and you follow issues across boundaries until they’re truly resolved.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

We are seeking a Warehouse Teammate to support the day-to-day operations of our warehouse and stores function. The Warehouse Teammate will work closely with the Warehouse Manager/Lead, specialists and cross-functional teams (including AVOps, Supply Chain, and IT) to ensure smooth, efficient, and accurate material management processes. This role is critical to maintaining stock integrity, ensuring timely deliveries, and building robust processes to support Wayve’s upcoming growth.

Key Responsibilities

Warehouse Operations

• Manage and control inventory levels, ensuring accuracy and timeliness of all stock bookings, kittings, and cycle counts.
  
  
• Organize and label storage space to maintain clear and efficient warehouse operations.
  
  
• Coordinate inbound and outbound shipping/receiving processes, ensuring smooth collaboration with cross-functional teams.
  
  
• Support the Warehouse Manager in ensuring warehouse operations run efficiently and meet defined expectations.
  
  

Team & Process Integration

• Build effective working relationships with wider teams to support material deliveries and demand.
  
  
• Communicate clearly regarding store availability, demand requests, and component kitting/delivery timelines.
  
  

Material Handling

• Define and implement material handling and storage processes in the UK in coordination with the Warehouse Manager.
• Ensure specialized handling protocols for sensitive electronics (ESD) and automotive sensors.
  
  
• Promote efficient and cost-effective material management structures with contingency planning to prevent build delays.
  
  

Inventory & Stock Management

• Carry out accurate and timely bookings and kittings aligned with inbound deliveries and build plans.
  
  
• Implement and maintain a rolling cycle count to ensure stock integrity and a high level of data accuracy within the ERP .
  
  
• Support inventory forecasting and reporting by monitoring stock values and identifying slow-moving or obsolete inventory.
  
  
• Assist with developing processes to highlight and resolve inventory management issues proactively.
  
  

Continuous Improvement

• Actively participate in process improvement initiatives to enhance warehouse operations.
  
  
• Collaborate with the Warehouse Manager on new projects, adapting responsibilities as required.
  
  
• Contribute to building discipline and best practices across warehouse activities.
  
  

Skills & Qualifications

• Proven experience in warehouse operations, inventory control, or logistics, ideally within a high-tech or automotive R&D environment
  
  
• Strong organizational skills with attention to detail and accuracy.
  
  
• Ability to work cross-functionally and communicate effectively with multiple teams.
  
  
• Familiarity with stock management systems, ERP platforms, or warehouse management software (preferred).
  
  
• Proactive, adaptable, and able to work in a fast-paced environment.

The Role

At Cognism, the security of our data, our systems and our clients’ systems is a business priority. Information security is embedded in the way we work, and we are driving a culture where the fastest path is the securest path. As the function continues to mature, we are now hiring for a Director of Security Engineering & Operations to report directly to our CISO. In this role you will own and drive the technical security strategy for Cognism’s web and data products, as well as our corporate environment. You will be responsible for designing a security programme that protects our most sensitive assets: our data, our data fusion engine and the logic that powers it. As a trusted partner to our R&D leadership team you will help to define and drive the long-term security engineering maturity roadmap, driving alignment across engineering leaders, product leadership and IT. If you’re energised by the idea of shaping measurable security processes and controls, from the ground up, aligning engineering around secure-by-design principles, and elevating operational excellence, then this is the role for you. This is a rare opportunity to define the technical security vision for a dataintensive product at a moment where AI, scale, and engineering velocity are creating new and exciting challenges. You will shape how Cognism builds securely for the next decade.

What success looks like

Within 12 months, you will have:

• Delivered a unified security engineering roadmap aligned with engineering leadership.
• Matured secure SDLC adoption across Web and Data engineering.
• Improved MTTD/MTTR through stronger SOC operations.
• Invested in and mentored a team with clear ownership, KPIs, and engineering trust.
• Reduced engineering friction by creating pragmatic, developerfriendly guardrails

What You'll Own

Security Strategy & Engineering Integration

• Define and own Cognism's technical security strategy that seeks to embed security-by-design within our web and data products, our data fusion engine and pipelines, and our corporate landscape. You will drive a strategy that is pragmatic, risk-ranked, and aligned to engineering velocity.
• Work directly with product and technology leadership as a strategic partner. You will drive ownership and accountability, clearly agreeing ways of working between your team and product and technology teams.
• Set and direct a secure SDLC strategy that engineers engage with, coaching and mentoring our application security engineer with running our threat modelling program, embedding security in CI/CD, and iteratively improving our vulnerability management processes.
• Partner with engineering leadership to ensure risk-driven supply chain management across our product, ensuring what we bring in doesn't undermine what we protect.
• Work directly with our Director of IT operations to ensure our corporate security posture is mitigating risk and empowering our employees to be as secure as possible, through guardrails that protect unacceptable risk but don’t stifle innovation.

Data & AI Security

• Partner with our VP of Data Engineering to strengthen the security of our enrichment engine, data pipelines, and warehouse ecosystems.
• Direct a strategy that considers security across the full data stack - from ingestion through to the warehouse - with a focus on access governance, data classification, and secrets management as non-negotiables.
• Define how Cognism embeds AI securely as LLMs and agentic workflows move deeper into the product and our technology teams’ operations.
• Partner with our CISO to shape and implement an AI security posture that is embedded in strong security foundations, helping us stay ahead of the threat landscape rather than reacting to it.

Detection, Response & SOC Partnership

• Own the strategic relationship with our 24/7 outsourced SOC holding them to a high standard on threat hunting, threat intelligence utilisation, and automated response, not just SLA compliance.
• Ensure Cognism has a holistic, well-maintained SIEM that reflects how we operate and improves continuously as the threat landscape evolves.
• Build the internal team into a trusted escalation layer, with clear incident response playbooks, rehearsed escalation paths, and a feedback loop that sharpens detection over time.

Team & Culture

• Lead a team of application and infrastructure security engineers, setting the standard for technical excellence and deep partnership with their engineering counterparts.
• Build a security culture where developers raise security questions early, understand threat models, and own remediations, not because policy requires it, but because the culture makes it natural.
• Be the security leader Cognism's engineers want in the room: credible enough to be trusted, collaborative enough to be included, and strategic enough to make it count.

What We Need

Leadership & influence

• Demonstrated experience building security programmes from scratch or transforming them significantly in a product-led, engineering-first company.
• A track record of influencing engineering culture and earning trust, not enforcing it.
• Experience managing external security partners, (e.g 24/7 Security Operations Centre, penetration testing 3rd parties) and raising their performance through clear accountability, not just contract reviews.
• Able to communicate risk in business terms to exec and board audiences, and technical terms to engineers, without losing precision in either direction.

Technical foundation

• Strong AppSec expertise (OWASP, API security, SAST/DAST, SDLC) with practical threat modelling experience – enough to challenge and coach our most senior application security engineers.
• Handson understanding of data security, cloud data warehouses, and pipeline integrity – enough to ensure we are driving the right programme of work across our technology department.
• Cloud security fluency with working knowledge of container and Kubernetes security, IAM design, and cloud-native security tooling – enough to clearly identify, prioritise and challenge solutions for implementing security in our cloud environment.
• Working knowledge of AI/LLM security risks: enough depth to assess integrations, define guardrails, and evolve the programme as the technology does.

Mindset

• Risk-based by instinct: prioritises based on both technical and business impact
• Builder mentality: energised by creating structure where there isn't any, pragmatic about sequencing, and focused on outcomes over coverage.
• Genuinely curious about AI, not just its security risks, but its potential to improve how security is done.

📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The interview process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits 

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

#LI-LG1  #LI-Remote

📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working 

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The Interview Process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits 

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

#LI-LG1  #LI-Remote

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

We are seeking a Warehouse Specialist to support the day-to-day operations of our warehouse and stores function. The Warehouse Specialist will work closely with the Warehouse Manager/Lead and cross-functional teams (including AVOps, Supply Chain, and IT) to ensure smooth, efficient, and accurate material management processes. This role is critical to maintaining stock integrity, ensuring timely deliveries, and building robust processes to support Wayve’s upcoming growth.

Key Responsibilities

Warehouse Operations

• Manage and control inventory levels, ensuring accuracy and timeliness of all stock bookings, kittings, and cycle counts.
  
  
• Organize and label storage space to maintain clear and efficient warehouse operations.
  
  
• Coordinate inbound and outbound shipping/receiving processes, ensuring smooth collaboration with cross-functional teams.
  
  
• Support the Warehouse Manager in ensuring warehouse operations run efficiently and meet defined expectations.
  
  

Team & Process Integration

• Build effective working relationships with wider teams to support material deliveries and demand.
  
  
• Communicate clearly regarding store availability, demand requests, and component kitting/delivery timelines.
  
  

Material Handling

• Define and implement material handling and storage processes in the UK in coordination with the Warehouse Manager.
• Ensure specialized handling protocols for sensitive electronics (ESD) and automotive sensors.
  
  
• Promote efficient and cost-effective material management structures with contingency planning to prevent build delays.
  
  

Inventory & Stock Management

• Carry out accurate and timely bookings and kittings aligned with inbound deliveries and build plans.
  
  
• Implement and maintain a rolling cycle count to ensure stock integrity and a high level of data accuracy within the ERP .
  
  
• Support inventory forecasting and reporting by monitoring stock values and identifying slow-moving or obsolete inventory.
  
  
• Assist with developing processes to highlight and resolve inventory management issues proactively.
  
  

Continuous Improvement

• Actively participate in process improvement initiatives to enhance warehouse operations.
  
  
• Collaborate with the Warehouse Manager on new projects, adapting responsibilities as required.
  
  
• Contribute to building discipline and best practices across warehouse activities.
  
  

Skills & Qualifications

• Proven experience in warehouse operations, inventory control, or logistics, ideally within a high-tech or automotive R&D environment
  
  
• Strong organizational skills with attention to detail and accuracy.
  
  
• Ability to work cross-functionally and communicate effectively with multiple teams.
  
  
• Familiarity with stock management systems, ERP platforms, or warehouse management software (preferred).
  
  
• Proactive, adaptable, and able to work in a fast-paced environment.

Senior Data Engineer 

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in the leading large scale data engineering projects.

Working Conditions

• Hybrid work arrangement: two-three days per week working from the office

Senior Data Engineer 

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in the leading large scale data engineering projects.

Working Conditions

• Hybrid work arrangement: two-three days per week working from the office

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + Benefits | Hear from the team ✨ 

⭐Our Borrowing Analytics Engineering Team:

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. 

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

🔑You’ll play a key role by...

• Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite.
• Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
• Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
• Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing  and beyond. 

🤩We’d love to hear from you :

• You have a strong passion for data modelling, ETL projects, and Big Data.
• You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
• SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
• You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
• You have experience building robust and reliable data sets that require a high level of control.
• You enjoy working with cross functional fast moving teams and are passionate about serving our customers.
• You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers.
• You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
• You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
• You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
• You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering.
• Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.

The interview process:

Our interview process involves 4 main stages: 

• Recruiter call
• Initial call  
• Technical task 
• 3 x 1 hours sessions (final interview)

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £97,800-£125,000 base + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚 Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

#LI-AS #LI-Remote

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + Benefits | Hear from the team ✨ 

⭐Our Borrowing Analytics Engineering Team:

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. 

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

🔑You’ll play a key role by...

• Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite.
• Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
• Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
• Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing  and beyond. 

🤩We’d love to hear from you :

• You have a strong passion for data modelling, ETL projects, and Big Data.
• You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
• SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
• You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
• You have experience building robust and reliable data sets that require a high level of control.
• You enjoy working with cross functional fast moving teams and are passionate about serving our customers.
• You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers.
• You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
• You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
• You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
• You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering.
• Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.

The interview process:

Our interview process involves 4 main stages: 

• Recruiter call
• Initial call  
• Technical task 
• 3 x 1 hours sessions (final interview)

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £97,800-£125,000 base + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚 Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

#LI-AS #LI-Remote

About the Position

We’re looking for an experienced logistics and supply chain professional to help manage equipment inventory, delivery, installation and deployment for our offices, data centres and co-locations, and to track assets throughout their lifecycle. 

This role is based in London but covers a range of sites across the European market, and will help align global processes with our Hong Kong office. 

Additional responsibilities of this role will include:

• Developing, implementing and coordinating comprehensive logistics plans for equipment movement from warehouses to data centres
• Managing the call-off process, ensuring the timely and accurate delivery of equipment
• Coordinating, with the support of the business stakeholders, the planning of installations and deployments of equipment across multiple sites
• Working alongside the Procurement team to support the management of inventory levels and identify any stock challenges
• Helping with asset transfers and driving process improvements across logistics and supply chain operations where possible
• Troubleshooting and resolving any logistics-related issues
• Managing customs broking and paperwork arrangements for both the importing and exporting of goods across global markets

About You

• Have 5+ years of experience in logistics and project management, preferably in IT or data centre environments
• Have demonstrable experience improving, streamlining and documenting processes
• Have a proven track record of managing vendors and coordinating third-party services
• Understand warehouse operations and inventory management
• An experienced project manager and resource planner
• A strong communicator with great people and problem-solving skills
• Proficient in Excel and Google Sheets
• Operate with a high sense of urgency
• Have experience in asset transfers management, process improvement and process management (a plus but not required) 
• Fluent in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team collaboration, and organizational control into a single coherent system. This platform serves as the execution and governance layer for AI-driven development and is deeply integrated with JetBrains tools and designed to work across teams, products, and environments.

As part of this vision, we’re building AI governance capabilities into JetBrains Console that help organizations manage, observe, and understand AI usage across their teams. Our AI analytics give company admins and decision-makers visibility into adoption, usage, cost, and the impact of AI agent development.

We’re looking for a Senior Product Manager to lead the vision and execution for customer-facing AI analytics as part of our AI governance product. This is one of the most valuable areas of the platform – it helps organizations understand how AI is being adopted across JetBrains products and third-party AI tools, how it affects developer workflows, where friction exists, and how to make better decisions about rollout, budgets, limits, and tooling. 

In this role, you will:

• Own the product roadmap for AI analytics within JetBrains Console.
• Drive product discovery using customer research, product telemetry, usage data, and feedback from Sales, Customer Success, and other customer-facing teams.
• Define and develop analytics experiences across adoption, usage, cost, activity, and impact.
• Identify, define, and improve the product metrics behind our analytics, ensuring they are meaningful, trustworthy, and actionable for customers.
• Generate, prioritize, and validate hypotheses through research, data analysis, and experimentation.
• Work closely with engineering, design, and data warehouse teams to define problems, shape solutions, and iterate quickly.
• Collaborate with adjacent product teams across AI, IDEs, licensing, and administration to build coherent customer experiences.
• Help shape the next generation of analytics capabilities, including deeper dashboards, segmentation, and API-enabled access to analytics data.

We’ll be happy to have you on our team if you:

• Have 5+ years of product management experience, ideally in B2B or enterprise software.
• Have experience building analytics, observability, reporting, or admin-facing products.
• Have a technical background or hands-on experience with software development.
• Are familiar with modern software development practices and developer workflows.
• Have a strong understanding of product metrics, telemetry, and data-informed decision-making.
• Are comfortable working with technical products and engineering-heavy teams.
• Are proficient in English, with strong written and spoken communication skills.

We'd be especially thrilled if you have:

• Experience in AI products for developers, governance, compliance, or usage-based platforms.
• Experience building products for software teams, engineering organizations, or technical decision-makers.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-HYBRID - if you want LinkedIn to post your role as hybrid in all the locations where the role is open ---> leave this tag in JD
#LI-AA1 

You can make the tag invisible on the job post by making the color of the tag white, for this go to ---> Format - Text color and choose white colour for your tag(s)

📍 Barcelona, Spain | 💰€93,500 - €126,500 + Benefits | Hear from the team ✨

⭐Our Borrowing team

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

Data is crucial to the success of this mission and Borrowing Analytics Engineers are at the core of how we build, scale and re-architect our Borrowing Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better. 

⭐ Our Analytics Engineering team

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. 

The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. 

Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail.

There will be a strong focus on delivering best practice across all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

🔑 You’ll play a key role by...

Working in a multi-disciplinary team, you will:

• Be a hands on leader in building a discipline of exceptional analytics working to make Data at Monzo the gold standard within the industry.
• Nurture between 6  and 7 engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others.
• Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.
• Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines
• Be part of the hiring team within Analytics Engineering
• Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
• Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines.
• Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others.
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

🤩 We’d love to hear from you if…

You have experience managing or mentoring the performance and development of high-performing engineers.

• You have strong experience in data warehousing architecture at scale
• You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect.
• You know what it takes to hire great engineers within the data space.
• You’re equally comfortable working hands on and leading a team.

Nice To Haves:

• Any experience working within a finance or banking environment
• Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
• Experience with any of our stack of dbt, BigQuery and Looker

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰Base salary range for this role is dependent on experience + benefits 

📍Barcelona, Spain

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps

Recruiter Screening Call

Initial Call

Final Loop (3 sessions - case study, collaboration and people leadership)

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE 

#LI-AS #LI-Remote

Scopely is looking for a Director of Data to lead Analytics Engineering for Monopoly GO!, one of Scopely’s largest and most successful titles. This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

In this role, you will define how data is built, scaled, and used across the game—owning the platform, standards, and team that power insight, experimentation, and decision-making at scale.

You will operate as both an organizational leader and technical authority: shaping the vision for Analytics Engineering, evolving the data platform, and ensuring data is a core competitive advantage for the business.

What You Will Do

Define Strategy, Vision & Operating Model

• Define the vision and operating model for Analytics Engineering as the organization scales
• Own the roadmap for Analytics Engineering and AI initiatives, driving insight at scale
• Promote a data product mindset, ensuring data assets are reliable, reusable, and easy to access
• Drive adoption of AI-enabled workflows in analytics, and define how AI systems interact with the data platform

Own Data Platform & Architecture

• Set direction for the data platform (pipelines, warehouse, semantic/metrics layer), optimizing for speed, reliability, and usability
• Own the metrics layer as a single source of truth across the organization
• Ensure scalable data pipelines and strong experimentation, reporting, and analytics capabilities
• Influence broader data architecture, including shared platforms like Playgami, and partner with central data teams

Own Investment & Resource Strategy

• Own budget and investment decisions for data infrastructure and tooling
• Continuously improve organizational structure, processes, and execution velocity

Lead & Scale the impact of Analytics Engineering as a Craft 

• Maintain a high-performing Analytics Engineering team, including hiring, performance management, and career development
• Define role architecture, promotion criteria, and calibration standards 
• Establish Analytics Engineering as a Centre of Excellence, fostering community, learning, and innovation
• Monitor and improve team health, capability, and performance

What We're Looking For

• Proven experience leading and scaling high-performing data or engineering organizations
• Deep understanding of modern data platforms (pipelines, warehouses, semantic layers)
• Strong technical judgment with the ability to influence architecture and standards at scale
• Track record of building or evolving data platforms for large-scale products
• Experience improving organizational effectiveness, processes, and team performance
• Ability to operate strategically and hands-on, connecting technical decisions to business impact
• Experience driving adoption of new paradigms (e.g., AI/ML, data products, modern data stack)
• Strong cross-functional leadership and stakeholder management skills

Please ensure that the résumé/CV you attach is written in English.

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

About the role:

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.

What you will be doing:

• You will work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues. 
• Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
• Collaborate with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product.
  
  

Qualifications we are looking for: 

• Industry experience supporting enterprise products for data analytics.
• Computer Science fundamentals. Strong domain expertise in databases and business intelligence
• SQL proficiency - Very good grasp on JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries etc. 
• SQL query performance troubleshooting and plan generation understanding 
• Proficient in data modeling concepts
• Ability to properly chart data into logical visualizations
• A proven track record of building trust with customers and bringing issues to resolution quickly
• Excellent verbal and written communication skills
• A strong desire to build scalable processes for issue resolution (documenting common patterns for issue resolution, building tooling for diagnosing issues etc)
• Strong collaboration skills and the ability to work with multiple departments and co-ordinate issue triaging, diagnosis and resolution
• Desire to be a great teammate and have fun at work

Highly Desirable Skills & Experiences

• Supporting a cloud service in production
• Experience working with Snowflake, Redshift, BigQuery
• Knowledge of GCP, AWS
• Startup experience

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

The Experience You’ll Need

• 5+ years of deep experience in modern, cloud-based data engineering. You have a proven track record of building and maintaining robust platforms that enable the discovery, query, and processing of large-scale datasets.
• Expertise in Core Technologies (Mandatory): You possess advanced proficiency in Python and SQL and experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.)
• Data Fundamentals & Architecture: You have a deep understanding of Relational Databases (Postgres, MySql, etc.) and are proficient in working with data container files (e.g., Parquet, Avro, etc.). You are familiar with Medallion Architecture (Bronze/Silver/Gold) and know how to apply its principles to build scalable, reliable data products.
• Cloud & Platform Operations: You are seasoned in at least one major cloud provider (GCP, AWS, or Azure). You are comfortable in a "DevOps" capacity—specifically managing the infrastructure and tools that empower other engineers to run their pipelines, rather than focusing solely on building ETL flows.
• Hands-On: You understand the trade-offs between different architectures (Data Lake vs. Warehouse) and can make high-level decisions regarding CI/CD and system maintenance. Crucially, you are a "doer" who enjoys getting into the weeds of implementation, not only designing the blueprint.
• Collaborative Problem Solver: You thrive in environments with significant technical ambiguity. You can navigate complex systems and diverse technologies to deliver solutions that are easily monitored, quantified, and understood in production.
• People-First Mindset: You prioritize supporting your coworkers’ growth. We value a culture where meeting deadlines never comes at the expense of being a helpful, empathetic teammate.
• Intellectual Curiosity: While a background in drug discovery, biology, or chemistry isn't required, a drive to learn the domain and explore new technologies is essential!

• Cloud: Google Cloud Platform (GCP), GCS, Pub/Sub.
• Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
• Infrastructure: Kubernetes, PostgreSQL, CI/CD (Argo).

Working Location & Compensation:

This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

Our EMEA Alliances organization is seeking a Sr. Field Alliance Manager to join our rapidly growing Partner team. In this role, you will tactically execute Sales GTM initiatives, strategies, and partner programs to engage our strategic technology partners. This role is instrumental to the growth of our partnerships in EMEA.

What you will be doing:

• Evangelize, enable, and execute go-to-market strategies with technology partners.
• Build and socialize joint solutions with the Sigma GTM Team and technology partners.
• Drive and nurture new programs and opportunities through our sales team to deepen our partnership with strategic technology partners, resulting in increased referrals and co-sells.
• Collaborate with the Sigma sales and marketing team to support events that enable and bolster our co-sell efforts.
• Host Sigma enablements and partner appreciation events to identify and expedite co-sell opportunities across the EMEA region
• Co-own support materials for various programs and initiatives with technology partners to enhance the top-of-funnel pipeline.
• Regularly meet with sales and sales leadership.
• Track, measure, and report on agreed KPIs using Sigma for Sales and Partner management.
• Monitor the joint EMEA Slack channels with technology partners to encourage rep to rep collaboration.

Qualifications we are looking for:

• 4–7 years of experience in sales or partnerships
• Possess Sales DNA and understand the sales mentality to align with the needs of the Sales organization.
• Preferably have a working knowledge of cloud environments and data ecosystems.
• Thrive in a fast-paced environment and can keep up with a highly motivated team and rapidly growing market.
• Exhibit extreme organization and collaboration skills.
• Act as a self-starter, demonstrating initiative in getting tasks done.
• Identify and communicate wins and areas for improvement that contribute to innovation within the alliance team.
• Display strategic thinking abilities, capable of articulating and inspiring others with the big picture.

Technologies You’ll Use: Sigma, Salesforce, Crossbeam.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. We are enthusiastically looking for people that will help us grow our company and sometimes we are imperfect communicators and can’t articulate perfectly what experience is required for a role. We are looking for people that are excited to grow and constantly ask how we can do things better. If you are excited about the opportunity, we encourage you to apply even if you don’t satisfy 100% of the job requirements.

The Role:

This is not your average sales role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Senior Business Development Representatives (BDRs) are set up to thrive, receiving elite sales, product, and industry training. With hands-on coaching from seasoned sales leaders, you’ll learn how to develop a sales strategy, drive meaningful prospect connections, engage in consultative selling, and become a trusted advisor. Altogether, this experience is designed to prepare you for a future in sales leadership.  

Working with Sigma gives you the opportunity to get in on the ground floor of a remarkable startup. The Senior Business Development Representatives of today are the Account Executives and sales leaders of tomorrow. BDRs serve on the front lines of new business, making this one of Sigma’s most critical roles.

This is an in-office role, which means the expectation is that you would come to the office 5 days a week.

Who You Are:

• A go-getter who is hungry for personal growth and advancement
• A team player who doesn’t want to work a mundane 9-to-5
• A total nerd who understands the power of data in driving unstoppable teams
• A deeply principled person guided by honesty, integrity, and humility

What You Care About:

• Learning from leaders who are dedicated to your success
• Working in a role you genuinely love with people you enjoy being around
• Making an impact in the fast-paced world of data
• Growing your leadership skills for a long and rewarding career

You’ll Contribute By:

• Partnering with Account Executives to identify high-priority target accounts 
• Prospecting, educating, and qualifying those accounts to create sales-ready opportunities
• Cold calling contacts and running outbound prospecting sequences in Outreach
• Overcoming objections through consultative selling
• Becoming a trusted advisor by growing relationships with prospects
• Effectively using Salesforce, Outreach, ZoomInfo, and LinkedIn to execute daily workflows
• Consistently meeting or exceeding your quota of 6 qualified demos per month

Your Qualifications:

• A 4-year degree or equivalent experience (required) 
• At least 1 year BDR/SDR experience
• Meticulous attention to detail 
• Effective time management skills 
• Positive and energetic communication skills (strong phone presence, listening, and writing) 
• Proficiency with corporate productivity tools (email, voicemail, Google Workspace) 
• Sales training and Salesforce experience 
• Outreach/Salesloft experience

Additional Job details

The base salary for this position is  annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.

About This Role

This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new customers, and directly contributing to the success of our organization.  

Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles. 

Who You Are:

• A go-getter who is hungry for personal growth and career advancement
• Someone who understands the power and value of data in driving innovation and business initiatives
• Someone who is principled, honest, humble, and hard-working

What You Care About:

• Learning from leaders who are dedicated to your success
• Working in a role you genuinely love with people you enjoy being around
• Making an impact in the fast-paced world of data
• Growing your leadership skills for a long and rewarding career

You’ll Contribute By: 

• Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce
• Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales
• Owning your sales process — from first call to demo to proposal to proof of concept to contract
• Working alongside a team of motivated reps on a high-functioning, energetic team
• Bringing on new customers and developing advocates for Sigma in the business intelligence market
• Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives
• Generating new revenue for a rapidly growing company

Your Qualifications: 

• Ideally two or more years of experience closing deals
• Experience in the data analytics or BI space (Looker, Tableau, Domo, etc.) is preferred
• Background in high-tech software sales is preferred
• A track record of success in pipeline generation and quota attainment
• Partnership and co-selling experience is preferred
• Team player, hustler, all-around sales superstar

About This Role

As a Commercial Account Executive (CAE) Manager at Sigma Computing, you’ll lead a team of high-energy reps focused on delivering outstanding results in the EMEA region. You’ll mentor and coach your team to excel in a velocity sales environment, partnering with customers and internal stakeholders to drive growth and expand Sigma’s footprint. This role is ideal for a passionate leader eager to contribute to the growth of a rapidly scaling business in the Data and BI space.

Who You Are

• A driven, hands-on leader with a passion for coaching and empowering teams to achieve their goals.
• A natural collaborator with a strong sense of ownership and accountability.
• Organized and detail-oriented, thriving in fast-paced, dynamic environments.
• A trusted advisor to both your team and your customers, focused on delivering value and building lasting relationships.

What You Care About

• Building and scaling high-performing sales teams.
• Coaching and mentoring team members to achieve and exceed their targets.
• Driving customer success and satisfaction through streamlined, efficient sales processes.
• Being part of an innovative, mission-driven company reshaping the BI landscape.

You’ll Contribute By

• Leading and mentoring a team of CAEs targeting organizations with up to 2000 employees.
• Driving revenue growth and achieving team targets through a streamlined and scalable sales motion.
• Partnering with internal teams to align on go-to-market strategies and operational excellence.
• Establishing and refining best practices for prospecting, pipeline management, and deal closure.
• Acting as a trusted advisor to both customers and Sigma’s leadership team.
• Leveraging your expertise to ensure the team excels in a velocity sales environment.

Your Qualifications

• Experience:
• Few years of experience managing a successful commercial sales team in a B2B SaaS/software company, OR
• Few years of individual contributor experience in a velocity B2B SaaS sales role with proven results and a desire to transition into management.
• Preferred: Experience in the Data/BI/Analytics space is a plus but not required.
• Skills & Attributes:
• Strong leadership and coaching skills with a hands-on approach.
• Exceptional organizational skills and attention to detail.
• Ability to multitask and prioritize in a fast-paced environment.
• Excellent verbal and written communication skills.
• A collaborative, results-driven mindset with the ability to influence and inspire.

Software Engineer- Early Career

Yellowbrick Data is an enterprise data warehouse software company delivering high-performance analytics for modern organizations. Available on-premises or in the public cloud, Yellowbrick gives customers the flexibility to deploy where it makes the most sense while maintaining speed, security, and control. Leading insurers, credit card companies, telecommunications providers, healthcare organizations, and government agencies trust Yellowbrick to turn data into fast, actionable insights without compromising security.

Job Overview:

We’re a driven R&D team building the best database in the world for data warehousing: We innovate in all areas of the software stack, from operating systems through to user interface and everything in between. Our technology is elastic and horizontally scalable and supports business critical operations. It runs both on-premises and in the cloud.

We have an amazing opportunity for a recently graduated Software Developer to join our software development team, working in areas such as query execution, performance optimization, cluster management, security and debugging of issues encountered in the field. You'll have the opportunity to work in all areas of our software stack which includes almost every aspect of computer science - from hardware to operating systems and user interfaces and everything in between.

If this job is for you, you love computer architecture, data structures, massively parallel algorithms, multicore programming, and performance analysis and optimization. You have a flair for debugging the hardest issues around concurrency, and relish using AI to explore and master a large complex code base. Starting your career, you’re keen to be surrounded by distinguished experts in the field of database development to learn from, yet keen to bring new perspectives and introduce new technology that can make a difference. You’re used to co-working with AI assistants for development and debugging, yet curious enough to question and learn from what they do. Perhaps most importantly, you love to get things done, ship product, help customers, and see it solving business problems that benefit thousands of users around the world.

We’re based on Trafalgar Square in the heart of London, and you’ll be expected to work from the office four days a week. We have great benefits, flexible vacations and a fun and inclusive office culture.

Responsibilities:

• Design, develop, test data warehouse microservices
• Help troubleshoot and fix issues encountered in the field
• Work closely with other teams such as Product and Technical Support to prioritise, guide and help customers

Qualifications:

• 1-3 years of relevant work experience
• Strong knowledge of C and C++ and working knowledge of Java
• A working knowledge of Kubernetes, Docker and Helm
• Strong debugging skills with LLDB or GDB
• Mastery of AI assistants such as Codex and Claude
• Experience developing software for Linux
• Basic understanding of networking and storage device behaviours
• Fundamental computer science – as many of these as possible:
• Hashing, sorting, searching, aggregation
• Indexing
• Distributed algorithms
• File systems and storage APIs
• Operating systems – kernels, threading, scheduling, memory management
• TCP and RDMA networking
• Multi-core programming and memory models
• Compilers – front end, internals or back-ends
• SQL and relational databases
• Machine Learning systems/platforms 
• Internals of open source or commercial database

We encourage people from underrepresented groups to apply. Come advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Yellowbrick Data also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Yellowbrick Data.

Yellowbrick may keep any job application for a period of three years to allow Yellowbrick to consider you for other suitable openings within the Company in the future. If you would like to opt out from the Company’s policy of retaining your information for the purposes of considering you for other suitable openings, please email gail.boddy@yellowbrick.com. The full text of Yellowbrick's California, the European Economic Area and United Kingdom Job Applicant Privacy Notice can be found here.

To all recruitment agencies: Yellowbrick Data does not accept agency resumes. Please do not forward resumes to Yellowbrick Data employees or any other organization location. Yellowbrick Data is not responsible for any fees related to unsolicited resumes.

The Role…

Reporting to the Junior Buyer and Product Developer, the Buying Admin Assistant will play a key supporting role in the purchasing and product development strategy for Soho Home, bringing bespoke products to the retail marketplace.

As Buying Admin Assistant for Soho Home, you will support the team to optimize all key functions across the buying and product development department, to ensure each brief is executed to a high standard and hits all KPI’s.

Main Duties…

• Provide administrative support to the Buying & Product Development department
• Manage all administrative tasks along the critical path and product lifecycle
• Maintain an awareness of the development critical path, supporting the team to ensure key calendar milestone are always met
• Ensure key product information across all internal platforms is up to date and accurate
• Update and maintain the seasonal development tracker, ensuring all key data throughout development is input
• Support in the department trade preparation
• Assist in compiling competitive analysis reports and other preparations required for seasonal sign-off meetings
• Assist in all preparations required for prototype and finalisation meetings – Presentation boards, range management documents, and physical set up of the showroom space. Oversee all logistical elements to ensure samples are on time and in place for key meetings.
• Take responsibility of all sample requests and shipments in line with department demands, liaising with suppliers as required
• Manage samples across all sites (office, warehouse, showroom). Ensuring all samples are readily available and accessible
• Ensure approved samples are passed to the Creative team in a timely manner for photography
• Create sample SKUs and labels for all development and photography samples as required
• Via the supply base, request and record all Product Specification Sheets, accurately copying the data to all internal platforms
• Proactively manage customer service queries to drive the best resolution
• Coordinate and manage sample sales with the wider Buying and Product Development team as and when required

What We Are Looking For..

• An excellent communicator both written and verbally, with strong interpersonal skills
• Naturally collaborative
• A creative problem-solver, innately curious with the confidence to challenge current practices and prompt positive change
• Strong organisational skills with an emphasis on attention to detail and accuracy
• Results-orientated
• Upholds a mature and professional demeanour at all times
• Enjoys working in a changing environment, able to demonstrate agility when responding to industry trends and evolving demands as Soho Home expands into new markets
• Excellent time management skills
• Ability to keep calm under pressure, always retaining a friendly and positive can-do attitude
• Some product development and commercial buying experience preferred but not essential

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

Senior Analytics Engineer 

Communication has changed for people. It’s changed for businesses, too.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

#LI-Hybrid

Location: This role is fully remote but must overlap with an East Africa timezone by at least 3 hours. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.

Priority Application Deadline: March 4, 2026 or until we receive a critical mass of applications

About this Role

GiveDirectly’s Fundraising team is responsible for unlocking significant, sustained funding to scale direct cash transfers globally. As we scale, our fundraising systems must become increasingly rigorous, automated, and compounding. Today, many of our core fundraising metrics and analyses require manual effort; this role will help transform that reality.

We are hiring a Senior Manager, Data (Fundraising & Marketing) to serve as the primary strategic data partner to our fundraising and marketing teams. You will combine deep fundraising context with strong technical expertise to define the right questions, establish durable source-of-truth metrics, and build leveraged data products that reduce ad hoc work over time. You will function as a senior individual contributor with significant scope and autonomy.

You will directly own significant data modeling and transformation work within the data lakehouse. You will be responsible for building the curated data models that power reporting, forecasting, and decision-making. Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. You will primarily use SQL to query data and contribute to data pipelines, and Python notebooks for deeper analysis. 

This is a full-time, globally remote position with travel 2–3 times per year for team retreats or planning sessions.

Core Responsibilities

Data Product and Metrics Ownership

• Set vision and priorities for how data supports fundraising and marketing strategy, based on a deep understanding of GiveDirectly’s fundraising model, donor lifecycle, and growth strategy, across revenue streams
• Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics) to drive fundraising goals 
• Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting - weekly, monthly, quarterly and annually
• Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership, continually folding learnings in to update the metrics and definitions
• Identify recurring analytical needs and convert them into scalable, automated data products
• Scope and prioritize fundraising data products in partnership with Fundraising and Marketing Data stakeholders
• Partner with data engineering on upstream data quality and pipeline improvements, while owning the downstream analytical layer
• Continuously reduce ad hoc reporting by investing in durable systems that compound in value over time

Strategic Fundraising and Marketing Analytics

• Serve as the primary data partner to fundraising and marketing leadership, informing strategy across acquisition, retention, and revenue expansion
• Build and maintain revenue forecasts and donor cohort models to guide annual planning and budget allocation
• Support channel investment decisions with clear ROI frameworks, experiment design, and performance analysis
• Proactively surface decision-relevant insights, even when questions are not fully formed

Donor & Revenue Insights

• Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised to drive continuous improvement on fundraising performance
• Evaluate marketing and fundraising initiatives using appropriate analytical methods (including experimentation where feasible, though not all channels support large-scale testing)
• Translate complex analyses into clear recommendations for non-technical stakeholders that drive fundraising improvements
• Surface high-leverage opportunities to improve conversion, retention, and revenue durability

Data Infrastructure & Platform Contribution

• Collaborate with data engineers and analytics peers to improve data quality, access, and trust
• Partner with the Salesforce Lead to ensure CRM data structure and integrity support accurate reporting and scalable downstream modeling
• Contribute to the long-term roadmap for fundraising data architecture, ensuring systems are designed for scalability and compounding insight generation over time
• Contribute to improvements in GiveDirectly’s data capabilities such as adopting conversational analytics
• Maintain high standards of analytical rigor, documentation, and reproducibility

Qualifications

We recognize that strong candidates may not meet every requirement listed below. If this role excites you, we encourage you to apply.

Required

• 8+ years of experience in analytics, data science, or quantitative strategy roles, including a track record of driving marketing, growth, or fundraising performance through analytics
• Strong experience setting vision and priorities for data products from significant ambiguity
• Strong systems thinking and experience designing measurement systems that compound in value and reduce recurring friction
• Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse
• Strong Python proficiency
• Experience building forecasting models (e.g., revenue, LTV, retention)
• Experimentation and performance measurement experience (e.g., A/B testing, quasi-experimental methods, ROI evaluation)
• Ability to navigate ambiguity and independently shape how data informs organizational strategy

Compensation

At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here.

Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.

United States

• Base Salary: $129,000
• Bonus at Target Performance: 10% (~$12,900, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $15,093 in 2025)
• Estimated Total Compensation at Target: $141,900+
• Annual Benefits Stipend: $21,393

This role is fully remote, so if you are not based in the US, we will share an estimated salary benchmark for the country you are based in during the hiring process. 

Why work at GiveDirectly?

At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:

• A positive and supportive team with opportunities for advancement
• A demonstrated commitment to helping all staff develop and grow
• A competitive salary, including bonus
• A robust health benefits plan (exact details will vary by country)
• Flexible paid time off
• Allowances for desk set-up and learning and development

 #LI-REMOTE

Opportunity

The Senior Applications Developer and Data Specialist will join Brunswick’s ICT team within the Business Applications function, reporting to the Group Head of Business Applications. The role is critical in ensuring the stability, security, and continued development of Brunswick’s core non-AI business systems, while supporting all data and automation initiatives within the ICT department.

About the Role

We are a key service provider to the business and deliver Internal ICT services to Brunswick colleagues across 27 offices around the world.  Our ICT department is made up of several core teams, Service, Infrastructure, Applications and our Programme management office.  Working in close collaboration with the ICT Security team, our Security team integrates seamlessly into our processes and security-oriented projects.

You will be responsible for the development, integration, and ongoing support of Brunswick’s business‑critical applications and data platforms, working closely with stakeholders in business teams such as Finance, Business Intelligence, Marketing, HR and with all internal ICT teams:- Infrastructure, Information Security, Projects and Service delivery.

Key responsibilities include:

• Develop, support, and maintain core business applications, including Dynamics 365 (Finance, CRM, Marketing), Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) and Microsoft Forms. Collaboration platforms such as Egnyte and SharePoint; and the data warehouse / data lake.
• Manage API implementations, integrations, and automation workflows.
• Develop and support internal ICT data and reporting mechanisms, engaging with all ICT teams to identify and execute automation initiatives
• Support Power BI reporting and data warehouse solutions.
• Embed and maintain secure development practices and support all ISO audit activities, ensuring that all application work aligns with Brunswick’s information security standards and governance framework
• Reduce dependency on external contractors through in‑house delivery.
• Contribute to application and data architecture decisions and longer-term platform roadmaps (non-AI systems)
• Environment management for applications.
• Act as a technical lead in vendor discussions, roadmap reviews, and third-party application assessments.
• Take a lead role in defining data quality standards, validation processes, and ownership models across systems.
• Oversight of DevOps and release management
• Proactively engage business teams to identify opportunities for automation, reporting improvements, and process optimization.

What We're Looking For

Strong experience in Microsoft enterprise application development, systems integration, and secure development practices.  A strong, data-literate systems thinker, and experience as a responsible owner of production systems

• 3+ years of experience with Microsoft Dynamics – FSCM & CE
• 5 + years of experience with
• C#, .Net, JavaScript
• SQL (PaaS), T-SQL
• Python
• Azure, (Web App Services, Azure Automation, Logic Apps)
• Azure DevOps
• Secure coding practices (OWASP Top 10)
• Identity and access management concepts
• Secure API design
• Design & maintenance of RESTful and/or Graph API’s
• Authentication and authorization (OAuth, SSO)
• Modern frameworks and understanding of UX, performance, accessibility
• Previous responsibility for Third party Saas Integrations (CRM, ERP, finance, Marketing tools)
• Deep data literacy skills and previous experience of data modelling

Why Join Us

Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of employee benefits to support your financial future, health and wellness, family and community and continuous professional development.

Your Impact

As a Senior Order Management Analyst, you will play a critical role in ensuring the accuracy, efficiency, and integrity of Axon’s order-to-cash operations. You will independently manage complex process of bookings workflows while partnering cross-functionally with Sales, Finance, Fulfillment, Product, and Customer Success teams to deliver an exceptional customer experience.

Location: UK (London or Daventry Office).  Requires in-office 4 days a week (Tuesday-Friday) with Mondays optional remote. 

Reports to: Director, Order Management

What You’ll Do

• Independently manage end-to-end order processing including order validation, booking, amendments, system corrections, and releases.
• Review and interpret contracts, pricing structures, and commercial terms to ensure accurate order entry and revenue integrity.
• Resolve complex order issues impacting bookings, fulfillment, invoicing, or compliance.
• Partner with Sales, Sales Operations, Finance (AR), Warehouse, and Product teams to remove blockers and drive timely fulfillment.
• Monitor backlog and backorders; proactively coordinate release activities and customer communication.
• Perform internal audits and quality checks to ensure compliance with revenue controls and operational standards.
• Drive continuous improvement initiatives, including automation and workflow optimization.
• Deliver process training and mentor junior analysts to elevate team capability.
• Contribute to pipeline reviews and provide operational insight that supports revenue forecasting.

What You Bring

• 7+ years of experience in Order Management, Revenue Operations, or Order-to-Cash environments.
• Proven ability to independently manage complex global transactions with minimal supervision.
• Strong understanding of revenue controls, audit requirements, and booking compliance.
• Advanced proficiency in ERP and CRM systems (e.g., Salesforce, D365, SAP, NetSuite, or similar).
• Strong analytical skills and experience using reporting tools (Excel, Sigma, or similar platforms).
• Ability to influence cross-functional stakeholders and drive resolution in ambiguous situations.
• Continuous improvement mindset with experience implementing process enhancements or automation.
• Operates with minimal supervision and high autonomy
• Makes independent decisions impacting bookings, revenue, and customer satisfaction
• Serves as a subject matter expert within Order Management
• Influences department-level outcomes through expert contributions
• Plays a key role in mentoring and developing peers and junior team members

Work Location

This role is based out of our UK office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Schumacher & Co. is an innovative interior design company that is disrupting the $150 billion-dollar global interior design industry. We are a technological leader on the design frontier, constantly pushing boundaries and striving for excellence. With over 500+ employees and growing, we are driven by a shared belief that design transforms life. We are dedicated to the mission of helping our customers “celebrate the feeling of home”.Schumacher designs and produces some of the most beautiful fabrics, wallcoverings, trims, furniture, and accessories in the world. Our portfolio of products is broad, but they are united by a passion for design, a thirst for what is next, an appreciation for what’s come before, a drive to make our products with enormous care and attention for detail. Schumacher is a globally recognized company with a myriad of showrooms both domestically and internationally. 

Our competitive advantage in the industry is people. We believe that our employees are our most valuable asset. F. Schumacher & Co is deeply anchored in our company core values which are as follows: 

• Preserve The Entrepreneurial Spirit
• Take Ownership & Accountability
• Be Solutions-Oriented
• Demonstrate Courage
• Practice Adaptability
• Embrace Collaboration

We empower our employees to live these values daily because we understand how it will positively impact the customer journey. F. Schumacher & Co., also known as FSCO, is the parent company to many brands within our portfolio. This role is part of Schumacher North America, which is the largest division of the company. 

Procurement Operations Lead

About The Role:

Join our UK procurement team as the hands-On Procurement Operations Lead, where you will play a pivotal role in managing highly strategic vendor relationships, optimizing operational efficiencies, and supporting our growing UK presence.

We are looking for a highly skilled, hands-on operations leader who can not only run day-to-day procurement operations but also drive Supply Chain transformation across processes, systems, and vendor management. This role requires someone who thrives in a fast-paced environment, is deeply analytical, proactive, and comfortable managing complex cross-functional initiatives. You will be expected to identify problems, document and articulate them clearly, evaluate trade-offs, and deliver actionable solutions that improve operational efficiency and scalability.

Key Responsibilities

Procurement Operations

• Own and lead day-to-day procurement operations, including direct ownership of highly strategic vendors, ensuring seamless coordination between suppliers, internal teams, and supply chain partners.
• Manage the full Purchase Order lifecycle, including PO creation, tracking, consolidation, and optimization for cost-effective shipping.
• Monitor order progress and proactively address risks to timelines, cost, or service levels.

Vendor Coordination

• Build strong relationships with vendors.
• Track vendor performance and requirement adherence.
• Communicate specifications, timelines, and logistics expectations to vendors.

Logistics

• Manage vendor documentation and ensure compliance with pickup, import/export, and customs requirements.
• Partner with the internal logistics team and courier partners to support smooth product pickups.

Transformation & Process Improvement

• Design, implement, and refine procurement workflows, tools, and operating models to support scale.
• Lead process improvement initiatives to reduce inefficiencies, improve visibility, and optimize cost.
• Identify and execute opportunities for operational and financial improvements across procurement and supply chain activities.

Cross-functional Support

• Coordinate with UK sales teams, finance and warehouse teams to align procurement timelines.
• Support cross-functional initiatives by providing data-driven insights and operational expertise.

Requirements:

• Experience: 4–6 years in procurement, vendor management, or supply chain operations, with proven experience leading operational improvements.
• Data & Systems: Strong analytical skills with advanced Excel (SQL or BI tools is a plus) and the ability to translate data into actionable insights.
• Communication: Exceptional written and verbal communication skills. Ability to set expectations with executives and lead cross-functional discussions.
• Critical Thinking: Ability to evaluate complex problems, balance trade-offs, and develop structured, strategic recommendations.
• Proactivity & Autonomy: Self-starter who thrives in ambiguity, takes initiative, and operates with minimal supervision.
• Leadership: Experience not just running a function but transforming processes and enabling long-term scalability.
• Industry Knowledge: Experience in design, luxury goods, or textiles is preferred, but not required

Location: our London office - 79 Lots Road 

Monday to Friday, 9 am to 5 pm, in a hybrid model, working 2 days remote and 3 days in the office 

Salary: 50K to 60K pounds 

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