Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Boomi provides the foundation on which your business can evolve and innovate. According to a recent survey by Vanson Bourne, connected businesses are far outpacing their competitors. We help organizations connect everything and engage everywhere across any channel, device or platform. More than 7,000 organizations are using Boomi to run better, faster and smarter.

Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people and developing cutting edge technology, you should explore a career with Boomi. Learn more at http://www.boomi.com/  or visit Boomi Careers.

Here in Boomi Professional Services, we pride ourselves on our industry leading expertise, high quality delivery and outstanding customer experience that leads to the “right first time” fast time to value service that our customers receive. This is a key reason why customers choose Boomi and Boomi Professional Services. In this role, you will implement the Boomi platform and develop Boomi integrations and APIs for our customers. Join us to do the best work of your career and make a profound social impact as a Boomi Integration Platform Developer in our Professional Services team.

Location: Spain/UK/Germany/France/Netherlands

Key Responsibilities  

As a Boomi Integration Platform Developer you will be supporting Boomi Platform implementation remotely for the clients based all over Europe, Middle East and Africa region. Travelling of up to 20% of the work time might be required. 

Your core duties will include, but are not limited to:  

• Working closely with Project Managers from the region to design and develop integration solutions. 

• Evaluating customer applications to assess integration approach. 

• Being a product expert of Boomi applications including the AtomSphere integration platform and learning other parts of the Boomi platform. 

• Recommending best practices for implementing, managing, and governing integrations using the Boomi AtomSphere integration platform. 
• Defining and promoting the adoption of best practices of Boomi's products across the internal and external user community. 
• Providing support and coaching to junior team members.

Essential requirements   

• Multiple years of experience working with enterprise integration tools, middleware technologies, and application and data integration patterns including JMS, SOAP/REST web services, databases. 

• Practical experience implementing services-oriented architecture design and enabling technologies including messaging, XML, JSON, web services, and HTTP. 

• Advanced knowledge of common business systems (CRM, SFA, ERP) and processes (lead to cash, requisitions, order management, etc.) 

• General knowledge of key application infrastructure components such as VMware, storage (NAS, SAN, SMB), Java JVM, networking (firewall, load balancing, proxies). 

• Good communication and interpersonal skills combined with fluent knowledge of written and spoken English. 

Desirable requirements  

• Database skills including SQL, data modelling, and databases (e.g. MS SQL Server, MySQL, Oracle).

• Development scripting skills with Java, Groovy, JavaScript.

• 1 year plus experience using the Boomi platform would be advantageous.
• Experience working in a professional services consulting business / working directly with customers.
• Experience providing coaching and support to junior team members.

• Additional language capabilities other than English.

What you’ll achieve

As a Consultant you will work closely with customers to understand their requirements, assist with project scoping and build innovative solutions to solve business problems. You’ll have the opportunity to learn more about the Boomi platform and grow your skills as a developer/consultant. You will be joining Boomi at an exciting time of growth and innovation.

#LI-LM1

At JetBrains code is our passion. Since we started in 2000, we’ve been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

We're currently seeking a dynamic Deal Desk Manager to join our team. This new role is pivotal in managing large deals and facilitating their timely swift closure. Your scope will be extensive, encompassing everything from streamlining discount management processes to conducting win-loss analyses and enforcing discount policies – all aimed at accelerating JetBrains' revenue growth.

We're looking for a professional who can confidently take charge of the Discount Management team with a proven track record. From day one, you'll collaborate across functions and partner  liaise with sales leads, becoming the go-to expert for your sales segment or product line.

As part of our team, you will:

• Develop and refine our discount policy.
• Manage and analyze product/region  product and regional performance based on effective discounts.
• Develop metrics and forecast future discount effects. forecast the impact of future discounting
• Conduct performance analysis for sales roles and functions, including price sensitivity.
• Support the discount provisioning process from request to through deprecation.
• Prepare regular reports on plan implementation, goal achievement, and win-loss analyses.
• Work closely with commercial unit heads leaders.
• Recommend and implement pricing policy changes.

We would be happy to have you on our team if you have:

• Expertise in managing discount provisioning and changes.
• A strong ability to collaborate with commercial unit leaders.
• Proficiency in preparing analytical reports and win-loss analyses.
• Familiarity with financial or operational discounts.

Preferred qualifications

• Advanced proficiency in Excel (functions and pivot tables).
• Advanced SQL knowledge.
• Experience in setting and optimizing business processes in any field.

Join us at JetBrains and play a crucial role in driving our revenue growth through strategic discount management and deal facilitation.

#LI-HYBRID 

As a Data Analyst at Guerrilla, you will turn player and gameplay data into actionable insights that support data-informed decision-making across development teams. Working closely with designers, producers, engineers, and user research, you will investigate player behaviour, contribute to analytical approaches, and communicate insights that support game development.

What You Will Do

Your responsibilities will include:

• Support analytics for one or more gameplay domains (e.g., progression, combat systems, economy, player onboarding), working with stakeholders to define goals, measurement approaches, and analysis plans.
• Conduct analyses that uncover player behaviour patterns, design risks, and opportunities to improve engagement and player experience.
• Partner with cross-disciplinary stakeholders (design, production, engineering, user research, publishing) to shape analysis from question framing through delivery and follow-up.
• Help define success metrics by translating project goals into KPIs, standard metrics, and measurement approaches that are practical for development teams.
• Contribute to the design and validation of gameplay telemetry and event taxonomy to ensure analytics can effectively measure player behaviour and game systems.
• Ensure data quality and trust by monitoring data completeness, consistency, and reliability, and clearly communicating limitations when they exist.
• Translate analyses into clear insights and recommendations that support design, production, and product decisions.
• Support experimentation and measurement efforts for gameplay features, helping teams evaluate feature performance and player impact.

Candidates hired at the Senior level will also be expected to:

• Own analytics initiatives for key gameplay domains and drive analytical investigations that influence development decisions.
• Proactively identify opportunities for analysis and shape analytical roadmaps with cross-disciplinary stakeholders.
• Lead the design and evolution of gameplay telemetry and event taxonomy.
• Guide experimentation and measurement strategies for gameplay features.
• Mentor and support other analysts, contributing to strong analytical practices across the team.

Who You Are

We'd love to hear from you if you have: 

• Experience working with cross-disciplinary teams to deliver analytical insights that support decision-making.
• Advanced SQL skills with a strong track record of working with large behavioural datasets (e.g., event streams / telemetry).
• Strong analytical ability and quantitative reasoning (e.g., distributions, correlations, cohort analysis).
• Experience working with stakeholders to turn ambiguous questions into well-scoped analysis and actionable insights.
• A strong understanding of games and player behaviour.
• Experience with data visualisation tools such as Tableau.
• Strong communication and presentation skills.
• Experience working with gameplay telemetry or instrumentation in complex products.
• Experience with Python (and Jupyter notebooks) or applied ML techniques used pragmatically to solve product or game questions.

Plusses:

• Curiosity and a habit of exploring new analytical methods or tools when appropriate.
• Experience with A/B testing or experimental design.
• Familiarity with version control workflows (e.g., Git) and reproducible analysis practices.

Interested?

If you think you’re up for the challenge, we’d love to hear from you! You can apply by hitting the “apply now” button. Be sure to submit your CV and cover letter.

Please note: This position is based in our studio in the heart of Amsterdam. Guerrilla offers relocation and immigration support.

At Guerrilla, we believe that our team’s varied backgrounds, experiences, and perspectives help us create games that resonate with a diverse audience.

As an equal opportunities employer, we strive to create an inclusive environment, empower employees and embrace diversity.

We encourage everyone to respond as we consider all candidates on the basis of their merit, unique strengths, and perspectives they will bring to the role.

About the role:

We are looking for an analytical, proactive, and ambitious FP&A Analyst who is excited about diving deep into financial data and joining an international team to elevate our financial planning to new heights. You will work closely with the rest of the FP&A, Finance team, the Data Team and the COO to sharpen our financial insights, drive better decision-making, and scale our planning processes. 

We value exceptional talent and operate at a fast pace, trusting in your expertise and analytical prowess to make impactful decisions.

You will balance high-level strategic thinking with the technical rigor to build from the ground up. You are an expert at navigating complex data environments (SQL/SaaS metrics) and take pride in the integrity of your models. As a key member of a lean team, you possess the 'builder' mindset, equally comfortable presenting to the COO as you are refining a data pipeline to ensure accuracy.

What you will do:

• Own the end-to-end orchestration of budgets, rolling forecasts, and long-range plans, ensuring alignment between departmental goals and company strategy.
• Design, build, and maintain automated dashboards and KPIs that serve as the "single source of truth" for organizational performance.
• Build sophisticated, scalable models to evaluate new business opportunities, pricing strategies, and "what-if" scenarios to de-risk strategic pivots.
• Develop and maintain financial models to predict future financial results and evaluate different scenarios.
• Partner directly with the COO and department heads to translate complex financial data into actionable recommendations that drive growth and ROI.
• Proactively identify financial risks and structural gaps, developing frameworks to monitor and mitigate exposure in a fast-changing environment.
• Assist in making strategic decisions by providing financial data and analyses to management.
• Participate in special financial projects and analyses as requested by management.
• Partner with the Accounting team during month-end close to analyze variances, ensuring high data integrity and a deep understanding of actual vs. plan performance.

What you will bring: 

• Bachelor's or master's degree in Finance, Accounting, Economics, or a related field.
• 4+ years of relevant experience in financial planning and analysis, ideally within a high-growth or "scale-up" environment.
• Strong analytical and problem-solving skills.
• Excellent knowledge of financial modelling, Excel and Google Sheets.
• Experience with financial software and tools
• Good communication skills to present financial information clearly.
• Self-starter with the ability to work in a fast-changing environment.
• Scale-up mindset, ready to ship fast and iterate even faster

Hard Requirements

• Able to deal with large data sets.
• Advanced financial modeling experience, including 3-statement modeling and scenario analysis.
• Deep understanding of SaaS-specific metrics (ARR, Net Retention, CAC Payback, LTV) and revenue recognition principles.
• Proficiency in SQL

We would also like to offer you:

• Lunch: On days you work in the office a warm fresh lunch will be provided for you.
• Up to 15 days Work From Anywhere Benefit.
• 24 days of paid vacation per year + public holidays.
• Travel Allowance, if you live more than 10 KM from the office (in the form of an NS card)
• Company pension plan.
• Company events and overseas trips!

(Please note that for this role you must already be living in the Netherlands)

About the role:

As a fast-growing business, data is the connective tissue of everything we do - from understanding how customers discover us to deciding on which new features should be rolled out. We're looking for a Data Analyst who doesn't just build dashboards, but who asks the harder questions: why are users doing this, and what should we do about it?

You'll sit at the intersection of engineering and commercial decision-making - trusted by leadership to deliver reliable data and clear narratives, and trusted by the team to keep the pipelines humming. This is an early stage opportunity for an analyst who wants to build. If that sounds like the perfect mix for you, we’d love to chat!

What you will do: 

• Drive business performance, through proactive data analysis, sharp reporting, and actionable insights that land with leadership
• Own and evolve our data pipelines, ensuring data is fresh, accurate, and trustworthy when it matters
• Build and maintain dbt models, that serve recurring business needs across Growth, Finance, and Product
• Be the storyteller in the room, presenting findings and translating complexity into clear narratives that move decisions forward
• Keep a close eye on pipeline health, troubleshoot issues proactively, and champion continuous improvement in data quality

What you will need: 

• You communicate data clearly to non-technical stakeholders - including C-level
• Strong SQL skills and working knowledge of dbt (models, tests, documentation)
• Comfortable writing Python scripts for data transformation or pipeline tooling
• Strong intuition around subscription lifecycle & paid acquisition metrics - you've lived in this space before
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• An ownership mindset - you communicate proactively, take end-to-end responsibility, and thrive in a small, collaborative team

Nice to have: 

• Experience managing ingestion pipelines or working with orchestration tools like Airflow
• Familiarity with data quality or observability tools
• Experience using AI tools to accelerate data work - LLMs for SQL generation, documentation, anomaly detection, or pipeline debugging

We would also like to offer you:

• Lunch: On days you work in the office a warm fresh lunch will be provided for you.
• Up to 15 days Work From Anywhere Benefit.
• 24 days of paid vacation per year + public holidays.
• Travel Allowance, if you live more than 10 KM from the office (in the form of an NS card)
• Company pension plan.
• Company events and overseas trips!

(Please note that for this role you must already be living in the Netherlands)

Finance Manager

About NLC

NLC Health Ventures is a leading healthtech and biotech venture builder and fund manager based in Amsterdam. We build and scale ventures from breakthrough science and invest across stages from pre-seed to Series C.

With around 40 professionals and €50M+ in assets under management, we operate across Europe and North America. We currently manage four funds and are actively raising our fifth, with the ambition to launch new funds every 2–3 years.

Our culture is defined by Together, Open, Decisive, Optimistic (TODO)—a high-performance, low-ego environment where ownership, speed, and impact matter more than hierarchy.

The Role

As Finance Manager (Individual Contributor), you will play a central role in running and scaling NLC’s finance function.

You’ll operate at the intersection of accounting, financial control, and decision support, acting as the link between day-to-day financial operations and senior leadership. Working in a lean team (CFO, Head of Finance, Finance Manager, Financial Administrator), you will take ownership of core finance processes while helping professionalize and scale the function.

This is a hands-on role with significant exposure to leadership, investors, and a complex multi-entity structure spanning venture building and fund management.

Why This Role Is Unique

• High ownership: You will effectively run the day-to-day finance function
• Complex environment: Multi-entity structure across ventures and funds
• Direct exposure: Work closely with the CFO, leadership, and external stakeholders
• Career trajectory: Designed as a pathway toward Head of Finance / CFO roles
• Real impact: Your work directly supports fundraising, investor reporting, and strategic decisions

Key Responsibilities

Financial Management & Control

• Lead day-to-day finance operations across multiple entities
• Own the month-end close process (accruals, provisions, intercompany, reconciliations)
• Review and ensure the quality of all accounting outputs (AP, AR, bank, fixed assets)
• Prepare and review management reporting, financial statements, and variance analyses
• Maintain strong financial controls, documentation, and audit readiness
• Act as primary contact for external accountants, auditors, and advisors

Reporting, Analysis & Decision Support

• Deliver clear, structured financial insights to support leadership decisions
• Support budgeting, forecasting, and long-range planning
• Build high-quality Excel models and PowerPoint materials for internal and external use
• Improve reporting through automation and tools (e.g., Power BI, SQL-based environments)
• Translate complex data into concise, executive-ready outputs

Payroll & HR Finance Oversight

• Oversee outsourced payroll providers (NL and international platforms)
• Review payroll inputs/outputs for accuracy and compliance
• Coordinate payroll processes with HR and leadership
• Support headcount reporting, compensation analysis, and workforce cost tracking

Team Coordination & Process Improvement

• Act as the functional bridge between the Financial Administrator and senior finance leadership
• Review work, set priorities, and ensure high-quality, timely outputs
• Drive continuous improvement of processes, templates, and workflows
• Contribute to building a high-performance, detail-driven finance culture

Who You Are

• 4–7 years of experience in Big 4 Transaction Services, Deals, Consulting, or similar high-performance environments
• Strong foundation in financial accounting, reporting, and control
• Highly detail-oriented, structured, and quality-driven
• Advanced Excel and PowerPoint skills; able to produce polished, decision-ready outputs
• Experience with or strong interest in analytics tools (e.g., Power BI, SQL)
• Comfortable combining hands-on execution with review and coordination
• Able to operate under pressure, manage multiple priorities, and meet tight deadlines
• Strong communicator with the ability to work with senior stakeholders and external parties
• Dutch language skills are a plus

What We Offer

• Career acceleration: A clear pathway toward Head of Finance / CFO roles
• High-impact role: Direct involvement in investor reporting, fundraising, and strategic initiatives
• Dynamic environment: Fast-paced, high-expectation setting with real ownership
• Compensation: Competitive salary with equity participation
• Meaningful work: Contribute to scaling ventures that bring life-changing healthcare innovations to patients

Diversity & Inclusion

At NLC, we believe diverse perspectives drive better outcomes. If you’re excited about this role but don’t meet every requirement, we encourage you to apply.

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

In a nutshell 

As a Business Analyst Working Student at Picnic, you’ll be at the forefront of innovation, tackling complex challenges with fresh, groundbreaking solutions. This role is all about driving impact—you’ll analyze data, help identify opportunities, and support strategies that push boundaries and redefine the grocery shopping experience. You’ll join a dynamic and collaborative team in a fast-paced, innovative environment. 

Tricks of the trade

• Solving real-life puzzles: Tackle critical business questions that shape Picnic’s business model every day. Curious about the questions? 
• Enabling: Achieve operational excellence by approaching challenges with a data-driven and analytical mindset
• Building: Create and optimize models for real-time improvements
• Communicating: Work effectively with different teams to deliver impactful and sustainable solutions
• Owning your projects: Take initiative by challenging the status quo and rethinking how things are done. Just because it’s been done that way doesn’t mean it’s the best way. Try us!

Your superpowers

• You are currently enrolled in a Master’s program in Aerospace, Mechanical, Industrial, Automation or Production Engineering; Mathematics; Econometrics; AI; or equivalent 
• Passion for data analytics and business consulting
• You have knowledge of fast-paced environments 
• You have the ability to explain complex analytical concepts in a comprehensible manner to various stakeholders 
• Your communication skills allow you to convert abstract plans into digestible information 
• Proficiency with SQL and Python or are excited to learn 
• You are fluent in both written and verbal English (French is a plus) and have an EU citizenship available
• Available for minimum 16h per week for minimum 4 months, preferably more

Depending on your performance, we can discuss further opportunities at Picnic!

Picnic Perks 

🚀Every expert was once a beginner!
You’ll have plenty of chances to grow, whether it’s through our casual Lunch & Learn sessions or team specific trainings. We’re especially keen on keeping great talent around: perform well as a working student, and we would love to explore transitioning you into a full-time role.

🌍Make a difference
You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🤝Teamwork makes the dream work
With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

🥗Fresh Lunch, coffee, and snacks 

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

💪Stay healthy
Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials.
There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing!

💰Attractive package
We offer competitive compensation and a pension plan that looks out for your future self. 

In a nutshell 

Become a Picnic key driver in building outstanding features and products that serve millions of customers. Your work will be impactful - you’ll harness data, uncover opportunities, and build solutions that change the way people think about their meals every day. When you join Picnic, we’ll align on your first project, team, and team lead to match your unique skills and aspirations. This tailored start sets the stage for your journey to becoming a Product Owner.

Tricks of the trade

• Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results.
• Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll move at a pace that accelerates your growth like nowhere else.
• Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself.
• Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale.
• High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same.

Your superpowers

• Master’s degree in Engineering, Econometrics, Mathematics, Physics or an equivalent quantitative study
• 3-5 years of work experience in solving tangible business problems with direct impact on thousands of customers
• Problem-solving mindset and passion for tackling complex challenges in a high pace environment 
• Strong communication skills which allow you to explain complex analytical concepts in a simple and effective way
• Proficient with SQL and Python or excited to learn
• EU citizenship or valid visa to work in the EU

Note: This is not a one-time hire. We’re hiring for this role throughout the year as part of our ongoing growth and expansion.

Picnic Perks 

🥗Fresh Lunch, coffee, and snacks 

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚲Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

🗺️Relocation

If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 

🍎Learning & development 

You’ll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. 

💻All the rest 

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. 

FEQ427R62

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a Solutions Architect for Strategic Accounts in the Benelux Field Engineering team, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. 

Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Technical Strategy & Leadership: Lead the technical strategy for key strategic accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level.
• Executive Advisory: Act as a trusted advisor to VP & BU-1 leaders, driving alignment through negotiations and ensuring long-term technical commitment.
• Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.
• Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.
• Mentorship: Coach junior team members on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity.

What we look for: (Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!) 

• Experienced in customer interactions in a technical pre-sales capacity and adept at managing complex sales lifecycles. Adept skillset in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.
• Technical spike in AI toolings & solutions combined with broad expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI
  • Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous. 
  • Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also be looking to assess your skills with AI-assisted coding and tooling. 
• Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available.
• Recognised as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.
• Excellent communication skills in English required as a minimum.

Notes on the role: 

• This will be an office-based contract (Amsterdam), with a hybrid schedule.
• An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.   

#LI-hybrid

FEQ427R300

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a Solutions Architect in the Benelux Field Engineering team, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. 

Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Technical Strategy & Leadership: Lead the technical strategy for accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level.
• Executive Advisory: Act as a trusted advisor to senior leaders, driving alignment through negotiations and ensuring long-term technical commitment.
• Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.
• Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.
• Mentorship: Coach junior team members on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity.

What we look for: (Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!) 

• Experienced in customer interactions in a technical pre-sales capacity and adept at managing complex sales lifecycles. Adept skillset in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.
• Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset.
  • Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous. 
  • Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also be looking to assess your skills with AI-assisted coding and tooling. 
• Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available.
• Recognised as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.
• Excellent communication skills in English required as a minimum. Dutch language skills to a business-proficiency level will be advantageous. 

Notes on the role: 

• This will be an office-based contract (Amsterdam), with a hybrid schedule.
• An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.   

#LI-hybrid

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role

We are looking for a Senior Data Analyst to become the first analytics hire in Capacity Management and build a data-driven foundation for how we plan and operate infrastructure.

Today, many critical decisions rely on expert judgment. Your mission is to change that - by introducing clear metrics, reliable observability, and forward-looking models that guide decisions across engineering, product, and business.

You will work directly with the Head of Capacity Management and operate with high autonomy across the entire capacity domain.

What you will do

Build observability into capacity

• Define and own key metrics for availability, utilization, and capacity health

• Build dashboards that reflect the real state of the system, not a simplified view

• Replace manual and fragmented reporting with reliable, scalable data products

Own forecasting and demand modeling

• Develop rolling forecasts across regions, clusters, and products

• Identify early signals of shortages and imbalances

• Turn uncertainty into quantified scenarios

Drive decision-making

• Support decisions on data center expansion, resource allocation, and product constraints

• Model trade-offs (e.g. resource ratios, allocation strategies, demand shifts)

• Bring clarity and structure to ambiguous, high-impact problems

Scope & impact

• Operate across ~a dozen regions, multiple clusters, and tens of thousands of GPUs

• Influence decisions on infrastructure scaling, product allocation models, and business priorities

• Become a key partner to engineering, product, and business teams

We expect you to have:

• Proven Experience: 5+ years of experience in data analytics, data science, or related fields, ideally in high-scale or infrastructure-driven environments

• Strong ownership: ability to independently drive problems from framing through analysis to actionable recommendations

• Technical proficiency: solid SQL and Python for data analysis, modeling, and working with large datasets

• Data product experience: hands-on experience building dashboards and data products (Grafana, DataLens, or similar BI tools)

• Operational mindset: ability to work effectively in evolving, imperfect data environments with incomplete information

• Decision-making under ambiguity: comfort operating in high-speed environments with shifting priorities and unclear inputs

It will be an added bonus if you have:

• Experience in infrastructure, cloud, or capacity-related domains

• Background in forecasting, time series analysis, or demand planning

• Understanding of statistical methods and practical judgment on when to apply them

• Experience in high-growth or startup environments

• Proficiency in Russian is a plus

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

An overview of this role

As a Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.

Some examples of our projects:

• Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality
• Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale

What you'll do

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities
• Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance
• Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI
• Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform
• Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations
• Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices
• Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt
• Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

What you'll bring

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models
• Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow
• Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders
• Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility
• Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI
• Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling
• Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way
• Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains

About the team

The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.

About the Role

We are building Optiver’s next-generation Enterprise Data Platform on the Databricks Lakehouse. As an Enterprise Data Engineer, you’ll design the curated data models, pipelines, and metrics that make data a trusted asset across Finance, People, and Business Operations.

This is a hands-on role at the center of our data transformation: you’ll shape how business stakeholders access and trust data, working on one of the most modern stacks in the industry

WHAT YOU’LL DO

• Build clean, scalable ELT pipelines using dbt, SQL, PySpark, and Databricks.

• Design curated models and semantic layers to standardize KPIs across Finance, People, and Ops.

• Partner directly with business teams to turn complex requirements into clear, reusable data products.

• Implement governance and quality checks (lineage, testing, role-based access) so data is reliable and secure.

• Deliver data products that power BI tools and self-service analytics.

• Contribute to platform best practices (CI/CD, naming conventions, testing frameworks).

WHO YOU ARE

• Experience in Data Engineering or Analytics Engineering, ideally with exposure to Finance, People, or Business Ops data.

• Advanced SQL and dbt skills, with experience modeling for analytics (dimensional, medallion, vault).

• Hands-on experience with Databricks or equivalent Lakehouse platforms.

• Understanding of data governance and quality frameworks.

• Strong communication skills and the ability to work directly with business stakeholders.

WHO WE ARE

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

WHAT YOU’LL GET

At Optiver, data is central to everything we do. You’ll join a small, high-impact team with a mandate to build best-in-class data capabilities from the ground up. Here, you will:

• Work with a modern Lakehouse + dbt stack, setting the standards others will follow.

• See your models and pipelines directly shape decision-making across the firm.

• Grow alongside experienced data leaders in a culture of excellence, innovation, and continuous improvement.

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.

• The opportunity to work alongside best-in-class professionals from over 50 different countries.

• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.

• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.

• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.

• Training and continuous learning opportunities, including access to conferences and tech events.

• Competitive relocation packages and visa sponsorship where necessary for expats.

HOW TO APPLY

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role

• We cannot accept applications via email’

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion.

Optiver is seeking a Trade Support Analyst to join our trading team in Amsterdam. This is a high-impact role at the intersection of trading operations, engineering, and innovation.

You will own critical trading workflows end-to-end while driving automation, scalability, and next-generation tooling across our systems. You’ll play a key role in ensuring the reliability of our trading operations while actively shaping how we evolve—through automation, data, and AI-driven solutions.

What you'll do 

You will take full ownership of trading support processes, combining operational excellence with continuous improvement and automation.

Trading operations

• Manage and execute critical trading support workflows across asset classes, including cash equities, options, and futures.
• Own the full trade lifecycle, including trade processing, reconciliation, settlements, corporate actions, and trade confirmations.
• Support exchange trade crossing workflows across multiple venues.
• Ensure accurate trade booking and timely clearing of positions.
• Own monitoring and control of trading and post-trade processes, proactively identifying and mitigating operational risk.
• Build dashboards and controls to track positions, risk, and operational health.
• Act as a key point of contact for exchanges, brokers, and counterparties.

Automation & engineering

• Design and build automation to streamline workflows and reduce manual effort.
• Develop internal tools and scripts (Python, SQL) to improve scalability and resilience.
• Partner closely with developers and traders to productionize solutions.
• Continuously optimize systems, data flows, and operational efficiency.

Innovation & AI focus

• Explore and implement AI and agentic workflows to enhance operations.
• Identify opportunities to leverage data and automation for smarter decision-making.
• Contribute to building the next generation of intelligent operational tooling.

Who you are

• Experience in trade support/operations within financial markets.
• Exposure to equities and/or derivatives.
• Strong analytical and problem-solving mindset with high attention to detail.
• Comfortable operating in a fast-paced, trading floor environment/

Technical & mindset fit

• Proficient in Python and SQL.
• Strong interest in automation and engineering-driven solutions.
• Motivated to work with AI/agentic workflows and emerging technologies.
• Thinks in terms of scalability, efficiency, and system design, not just process execution.

Who we are

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What you'll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 50 different countries.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Training and continuous learning opportunities, including access to conferences and tech events.
• Competitive relocation packages and visa sponsorship where necessary for expats.

How to apply

Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe? -OPTIONAL
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role
• We cannot accept applications via email

Diversity statement

Optiver is committed to diversity and inclusion.

GTM Engineer at Unframe

Location: Remote (Global)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re hiring a GTM Engineer to build the systems that power our GTM motion and enterprise sales execution.

You will design and implement the automation, tooling, and data infrastructure that turns GTM strategy into repeatable pipeline. You’ll work directly with Sales Leadership, Enablement, Marketing, and Solutions to remove friction, increase selling time, and scale outbound in a thoughtful way.

If you enjoy creating systems that make sales teams materially more effective, this role is for you!

What you’ll do:

• Build scalable outbound infrastructure, including account selection, sequencing, enrichment, and routing, aligned to ICP and vertical strategy
• Design and maintain automations and integrations across Salesforce and the GTM stack that eliminate manual work for AEs and SDRs
• Create and manage GTM Agents built in support of seller productivity and GTM execution
• Partner with Sales Leadership, Enablement, and Marketing to ensure systems reinforce how we sell
• Evaluate and implement new tools and light scripting (APIs, automation platforms) with scale and maintainability in mind

What we are looking for:

• 3–6 years in Sales Ops, RevOps, Growth Ops, or a GTM Engineering-style role
• Experience supporting enterprise or complex B2B sales
• Proven track record building outbound or pipeline automation
• Strong CRM fluency (Salesforce preferred)
• Experience with sequencing and enrichment platforms
• Comfortable working with structured data (SQL or similar is a plus)

Why join us?

• Real ownership from day one. Drive decisions, shape ideas and make them work.
• Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
• You'll have the opportunity to write and build what comes next.

Ready to Build the Future?

If this opportunity excites you, apply now!

CRM Engineer
Amsterdam/Rotterdam, hybrid

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

This role is part of our Experience & Engineering team based in Rotterdam and Amsterdam. We combine our skills in developing future-ready technical solutions with our expertise in creating beautiful designs to deliver exceptional and engaging digital experiences that build lasting relationships with our clients like Action, Bolia, Inter Milan, Danish Cancer Society and many more. Good understanding of processes required to build a digital experience are a must.

JOB PURPOSE

We’re looking for a CRM Engineer who enjoys working at the intersection of data, automation, and marketing technology. Someone who likes solving technical challenges, understands how CRM platforms work under the hood, and collaborates easily in multidisciplinary teams.

You’ll be part of our CRM Practice, consisting of CRM Engineering (your team), CRM Strategy, and CRM Activation. Together, we design, build, and bring customer journeys to life, combining strategy, technology, and execution to create meaningful, scalable customer experiences. Here, we combine future-ready technology with thoughtful design to create digital experiences that build long-lasting relationships for brands like GANT, Inter Milan, bol.com and Just Eat Takeaway.

In this role, you’ll build the technical engine behind CRM strategies, enabling personalised, automated customer journeys across channels for leading brands.

WHAT YOU’LL DO:

• Translate lifecycle and campaign requirements into technical solutions.
• Build and maintain CRM automations, workflows, and journey logic.
• Configure marketing automation platforms.
• Set up data structures, segmentation, and triggers for CRM journeys.
• Develop integrations like API connections and out of the box connectors.
• Troubleshoot issues and optimize CRM platform performance.
• Work together with CRM Solution Architects on larger CRM implementations.
• Document solutions and follow technical best practices and governance.

WHAT YOU BRING:

• 2–4 years of experience in CRM engineering, marketing automation, or a related technical role.
• Hands-on experience with one or more CRM platforms (like Salesforce Marketing Cloud, Bloomreach, Adobe Campaign, Microsoft Dynamics, SAP Emarsys etc.).
• Basic knowledge of SQL, scripting, APIs, or structured data formats (JSON). You are not a developer, but you understand code.
• A problem-solving mindset and genuine curiosity about how systems work.
• Comfort working independently on smaller projects, and collaboratively on larger ones.
• You’re comfortable being client-facing and explaining technical topics clearly.
• You thrive in a fast-paced agency environment with a high level of autonomy.

WE OFFER:

• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021, has been named a Great Place To Work since 2022 in the Netherlands and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
• A flexible, hybrid working policy (2-3 days from the office, depending on location) and the opportunity to work from abroad for 13 weeks a year. 
• DEPT®/YOU Learning Menu and DEPT®/YOU Special Programs. Develop your skills with courses and programs tailored to your needs.
• Stay happy and healthy with a contribution to your health through the OpenUp platform, gym and wellness discounts, and healthy lunches at the office.
• Get a discount on your lease bike and ride in style. You can also enjoy hassle free-commutes with an NS Business Card. 
• You can discover even more employee benefits here

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

The role: What's in the Box

Our Marketing Analytics team sits at the heart of HelloFresh Benelux, turning data into the decisions that drive how we grow, retain, and delight our customers. We're looking for a Marketing Analyst to join us on an interim basis, covering a maternity leave. 

Reporting to the Team Lead of Marketing Analytics at Benelux, you'll help our marketing teams understand what's working, what isn't, and where the biggest opportunities lie across customer acquisition, reactivation, and campaign performance. You'll have real influence on strategic decisions made by stakeholders. If you thrive at the intersection of data, business, and storytelling, this role was made for you.

What you’ll do: The Recipe

• Uncover and communicate insights across customer acquisition, reactivation, and campaign performance to help our Marketing teams make smarter, faster decisions
• Translate business questions into structured analyses — partnering closely with cross-functional stakeholders to frame problems clearly and deliver findings that actually move the needle
• Build and maintain dashboards, reports, and AB test frameworks that give our teams ongoing visibility into what's performing and why
• Deep-dive into pricing and discount dynamics to understand their impact on customer behaviour, retention, and profitability — and surface concrete recommendations for improvement
• Present your work to stakeholders of varying seniority, including domain leads, in a clear and compelling way that bridges data and business implications
• Champion analytical best practices within the team by sharing knowledge, contributing to tooling and documentation, and helping grow our collective capabilities

What you’ll bring: The Ingredients

• 3+ years of experience in data analytics or marketing analytics, ideally in a consumer-facing or fast-moving environment (e.g. scale-up, consultancy, or data-driven corporate)
• Strong SQL skills and hands-on experience with Python for data manipulation and analysis
• Proven ability to structure analyses end-to-end — from scoping a business problem to delivering a clear, actionable recommendation
• Experience with data visualisation tools such as Tableau, Looker, or Google Looker Studio, and comfort working with statistical methods like regression modelling or AB testing
• A collaborative, communicative working style — you're comfortable working independently but know how to bring people along, including when working across local and global teams

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Commercial information

• This role is offered on a freelance basis; standard employee benefits do not apply.
• All costs and expenses (including travel or commuting) must be included in the proposed hourly rate. Hourly rates should be communicated excluding VAT.
• All contingent workers engaged by HelloFresh must hold valid professional liability insurance that is valid in the Netherlands. If we decide to move forward together and you are not yet insured, you will be required to arrange this insurance before starting the assignment.

What we offer: The Toppings

• Working environment & collaboration: You’ll work in a fast-paced, international environment alongside experienced professionals from diverse backgrounds. We value clear communication, ownership, and initiative, and we encourage you to contribute ideas, challenge the status quo, and help improve how we work together.
• Impact & autonomy: You’ll have the freedom to organize your work independently within agreed scopes and deliverables, while collaborating closely with your key stakeholders. We focus on outcomes rather than hours, and we appreciate proactive professionals who take responsibility for their work.
• Lunch & Office: When working from our Amsterdam office, you’ll join freshly prepared lunches for €3 per day and take part in our open, informal office culture.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Our Europe & Brazil Equity Options market has traditionally focused on highly liquid stocks but has expanded in scope to many more symbols. As a result, we have a wide range of new and exciting problems to solve. We are looking for experienced Equity Options Trader to strengthen the group, help us tackle these new challenges and expand our fast-growing team to cover more symbols and regions, with a particular focus on positional trading strategies.

Your core responsibilities: 

• You will maximize revenue by creating competitive edge trading strategies, using our existing signals suite and contributing to its improvement
• You will have lots of responsibility and ownership early on to drive strategies forward and be successful
• IMC is highly collaborative between traders, quants, and developers so the scope of responsibility is fairly fluid involving a mixture of operational trading and data-driven analysis
• We’ve already created partnerships and business models to facilitate our expansion and we’re currently working to improve our options pricing; investigating new models and improving our existing framework

Your skills and experience:

• You are an experienced equity option trader with at least 2 years’ experience
• You have relevant tertiary qualifications (graduate or post graduate), with strong academic results, preference in mathematics, science, financial engineering or computer science
• You have proven ability to act and perform successfully in a fast moving and high pressured environment
• You have a passion for learning; you are driven to succeed, you work well individually and in a team to get results
• Experience in computer programming is a plus (Python, C/C++, Java, Matlab, SQL)
• You will be highly analytical, constantly enhancing your strategies to improve the quality of trades, pinpoint missed opportunities, and identify new trading ideas and products

Real ownership. Real impact. Build from day one.

Are you an ambitious graduate ready to tackle complex, real-world challenges at the intersection of data, strategy and tech? 

The Future Leaders Graduate Program – Business Analytics at Picnic is a two-year launchpad for exceptional talents. From day one, you join a business team, own a business topic, and become an expert in your field.

At Picnic, we’re building the future of grocery. Using cutting-edge technology and data-driven innovation, we challenge the status quo and build the world’s smartest, most customer-focused supermarket.
We move fast, think big, and turn bold ideas into tangible impact.

Tricks of the trade

• Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results.
• Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll blend hands-on training with immediate execution, you’ll move at a pace that accelerates your growth like nowhere else.
• Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself.
• Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale.
• High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same.

From learning to leading

In your first six months, you’ll own a business-critical project from start to finish - supported by mentorship, learning sessions, and regular feedback.
You’ll strengthen your leadership abilities like project management, storytelling, stakeholder communication, giving & receiving feedback, while sharpening your skills in Python, SQL, Excel and PowerPoint.

As your scope grows, so does your responsibility. You might scale your initial project or take on new challenges in the same domain. Either way, the pace is yours to set. 

Where you’ll make an impact

From day one, you’ll be embedded in a business team, taking ownership in one of the following domains:

• Consumer - Drive growth through pricing, supplier strategy, and our market strategy. Think: Shaping our successful market entry into new cities. Your decisions shape how millions of customers experience Picnic.
• Tech - Work at the intersection of product and infrastructure, building scalable systems that power our operations. Think: building software and algorithms our FCAs run on or launch new features in our app used by millions.   
• Logistics - Build the backbone of Picnic: robotic fulfilment, demand forecasting, route optimization across Europe and much more

Your superpowers

You don't wait for permission. You see a problem, build the solution, and bring people with you, before anyone asks. You've probably already started something: a project, a product, a business, an initiative that didn't exist until you made it happen.

More specifically, you:

• Are about to graduate (or recently graduated) a Masters in a quantitative field: e.g., mathematics, econometrics, engineering, or similar
• Have experience in high-performance environments: consulting, fast-growth startups, or competitive internships and know what it means to raise the bar.
• Show an entrepreneurial mindset: you build, improve, and take ownership without being asked
• Think like a builder: hands-on, curious, and driven to challenge the status quo with practical solutions
• You have already gained basic knowledge in PowerPoint, Python, SQL, Excel or alternative coding languages 
• EU citizenship or valid EU working permit required.

Many strong candidates (particularly women) talk themselves out of applying because they don't tick every box. If this excites you and you believe you have what it takes, apply. We only hire when we find the right match. That’s why our selection process is intentionally highly selective.

 Why Picnic?

• Grow as we grow. We’re scaling quickly across countries and millions of customers and this is just the start. Grow your impact as we grow; we invest in your path but the driver's seat is always yours.
• Work with other innovators. Work with a driven, energetic team that builds, wins, and celebrates together (think of legendary Friday drinks, our Ski trip and our parties)
• Kickstart your career. Earn a competitive salary and step into a program designed to launch your long-term future at Picnic.

When are you joining? 

• Fall Edition 2026
  Start dates: September, October
  *earlier or later dates can be arranged, please indicate your preference in the application question

• Spring Edition 2027
  Start dates: February, March
  *earlier or later dates can be arranged, please indicate your preference in the application question

📍 Location: Full-time in Amsterdam, with periodic trips to DE or FR

There is no deadline: Our aim is to find the most ambitious people out there. We onboard talents on a monthly basis, so whether you join in April or August, you’ll always have a group of people sharing the ride. 

Picnic Perks

🥗Fresh Lunch, coffee, and snacks
Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚲Health insurance discount & bike plan
We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

🗺️Relocation
If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 

🍎Learning & development
You’ll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. 

⛳All the rest
At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.

FAQ

Do I need a quantitative background? It's a strong advantage, but not a hard requirement. If your internships and projects demonstrate real hands-on ownership and data-driven thinking, we'll consider your application. You do need a Master's degree, basic knowledge of Python or SQL, and relevant work experience.

Does the program include rotations? No, intentionally. We believe depth creates ownership, and ownership creates impact. Rather than rotating across teams, you’ll go deep in one area, build real expertise, and gradually expand your scope as your impact grows. If you have topic preferences, tell us during the process.

In what language should I apply? English. Please include your CV and Master's degree transcript or any other relevant test scores (e.g., GMAT)

What are the long-term opportunities after the program? This program is a fast track into a high-impact career at Picnic, it’s an entry point for a long-term future, not a two-year stopover. 

Career paths here are as varied as the people on them. Some grow vertically, building deep expertise and a team around them as their project expands. Others move laterally - from Commercial to Fulfilment, Distribution to Customer, or wherever their strengths and ambitions take them. What they share is real ownership, real impact, and a career they shaped themselves.

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

As a Technical Consultant, you’ll actively contribute to designing and implementing cutting-edge Identity Governance and Administration (IGA) solutions for our customers. Collaborating with business consultants, developers, and sales teams, you’ll translate complex requirements into secure, efficient systems that protect our clients' data and ensure compliance. With opportunities to work on high-impact local, regional, and global projects, you’ll shape the future of our clients' cybersecurity landscapes while advancing your own career. 
 

WHAT YOU'LL DO AS A TECHNICAL CONSULTANT

• Requirements Analysis & Design: Actively contribute to client consultations to map out IGA needs and provide tailored solution designs. 
• Implementation & Configuration: Execute the implementation and configuration of IGA solutions, ensuring security risks are identified and mitigated and applications are properly onboarded. 
• Technical Guidance: Serve as an IGA expert, delivering workshops and training for clients, and offering ongoing technical support. 
• Documentation: Develop and maintain documentation for IGA solutions and processes, ensuring clear and up-to-date technical records. 
• Mentoring: Share your expertise by coaching and guiding less experienced colleagues within the IGA unit. 
• Self-Development: Stay ahead of industry trends by obtaining certifications in leading IGA technologies (e.g., SailPoint, Omada, Saviynt, Entra). 

 
THE IMPACT YOU'LL HAVE

Through solving complex IAM and IT challenges and enabling the implementation of technical solutions that will provide full security to their assets, you are ensuring business continuity for (global) organizations across Europe. Your knowledge will be of value to your colleagues through mentorship, and the IAM industry through your thought leadership. Career growth opportunities include technical or business consulting, leadership, or other cybersecurity roles. 

 
WHAT WE CAN OFFER YOU

At SITS | Traxion, we are a true advocate for a healthy work-life balance. By providing flexible hours and hybrid working options, we enable you to comfortably manage personal commitments while working on impactful projects and using dedicated learning time for you to earn certificates and visit industry events. 

• Permanent contract. 
• Flexible hours (32 – 40 hours per week).
• Hybrid working options (2 days per week at our Waardenburg office or client site – can be more if you like!) 
• Flexible training budget and dedicated learning hours. 
• Local and international career development opportunities. 
• 30 days of annual leave (25 + 5 Traxion days). 
• Variable Consulting bonus. 
• Annual profit distribution. 
• Company lease car OR NS business card. 
• Private pension scheme.  
• Home office setup budget and monthly work-from-home allowance.  
• Regular social events.  

 
WHAT YOU'LL BRING TO THE TEAM

• Experience: 3+ years in consultancy, experienced in translating business requirements into technical requirements and in coordinating and executing IGA tool implementations (preferably Sailpoint, Omada, Saviynt or Entra) 
• Technical Skills: Good understanding of networking infrastructure & segmentations (i.e., Azure, Entra, Active Directory, SQL) and standard protocols (i.e., SCIM, REST, SOAP) 
• People Skills: You are a collaborative, proactive and (creative) problem solver and independent thinker who brings high accountability, values quality and has a continuous learning mindset. 
• Languages: Business proficient in English both written and verbal, Fluent in Dutch
• Education/certifications: It's a bonus if you already have certifications (i.e. CompTIA Security+, CISSP, MS Entra, or IGA vendors) - we will also help you get more! 
• Availability: You are available for at least 32 hours per week and can work from our Waardenburg office twice a week. 
• Driver's License: You have a valid EU driver's license. 
• Work Eligibility: You must already hold a valid working visa for and already live in the Netherlands or Belgium to qualify for this role. 
   

SOME FACTS ABOUT OUR IGA CONSULTANCY TEAMS

• You’ll be part of close-knit, diverse teams of 10+ technical consultants who value knowledge-sharing, collaboration, and continuous growth. 
• Our projects secure identities for local and international organizations (that have over 100,000 users across various regions of the world). As an example, we're currently managing the entire IAM stack for one of the biggest energy organizations in Europe. 
• Our team spends time every two weeks sharing knowledge, aligning on projects and celebrating successes. During our last team outing, we all managed to get dirty in the mud riding quads and shooting paintballs! 
• Every third Monday of the month we get together at the office to focus on the social aspect: talk about things other than work, play games and really build as a team.  
• Collectively, our team has experience with all technology leaders in the IGA marketspace. 
   

ABOUT SITS | TRAXION

As the Benelux leader in Identity & Access Management (IAM), we deliver top-tier consulting services since 2000. With over 100 specialists with 16+ nationalities we are passionate about enhancing cyber resilience through excellence, continuous growth, and a collaborative culture. As part of the SITS Group—a Swiss based leader in IT security—we are part of a network of top-class IT security providers that combine expertise, experience, and resources into a unified force for holistic security strategies.  

Our projects serve both local and international clients and span various sectors industries, including healthcare, pharma, energy, education, finance, retail, and government. 

Join us to work on high-impact projects whilst shaping cybersecurity. With opportunities for continuous learning, flexible working, and involvement in both local and international initiatives, you will be part of a dynamic team where your expertise truly makes a difference. 

. 

Ready to make an impact and secure Europe’s digital identities? Apply today! 

For any questions about this position or about us, contact: recruitment@traxion.com

As a Technical Consultant, you’ll actively contribute to designing and implementing cutting-edge Identity Governance and Administration (IGA) solutions for our customers. Collaborating with business consultants, developers, and sales teams, you’ll translate complex requirements into secure, efficient systems that protect our clients' data and ensure compliance. With opportunities to work on high-impact local, regional, and global projects, you’ll shape the future of our clients' cybersecurity landscapes while advancing your own career. 
 

WHAT YOU'LL DO AS A TECHNICAL CONSULTANT

• Requirements Analysis & Design: Actively contribute to client consultations to map out IGA needs and provide tailored solution designs. 
• Implementation & Configuration: Execute the implementation and configuration of IGA solutions, ensuring security risks are identified and mitigated and applications are properly onboarded. 
• Technical Guidance: Serve as an IGA expert, delivering workshops and training for clients, and offering ongoing technical support. 
• Documentation: Develop and maintain documentation for IGA solutions and processes, ensuring clear and up-to-date technical records. 
• Mentoring: Share your expertise by coaching and guiding less experienced colleagues within the IGA unit. 
• Self-Development: Stay ahead of industry trends by obtaining certifications in leading IGA technologies (e.g., SailPoint, Omada, Saviynt, Entra). 

 
THE IMPACT YOU'LL HAVE

Through solving complex IAM and IT challenges and enabling the implementation of technical solutions that will provide full security to their assets, you are ensuring business continuity for (global) organizations across Europe. Your knowledge will be of value to your colleagues through mentorship, and the IAM industry through your thought leadership. Career growth opportunities include technical or business consulting, leadership, or other cybersecurity roles. 

 
WHAT WE CAN OFFER YOU

At SITS | Traxion, we are a true advocate for a healthy work-life balance. By providing flexible hours and hybrid working options, we enable you to comfortably manage personal commitments while working on impactful projects and using dedicated learning time for you to earn certificates and visit industry events. 

• Permanent contract. 
• Flexible hours (32 – 40 hours per week).
• Hybrid working options (2 days per week at our Waardenburg office or client site – can be more if you like!) 
• Flexible training budget and dedicated learning hours. 
• Local and international career development opportunities. 
• 30 days of annual leave (25 + 5 Traxion days). 
• Variable Consulting bonus. 
• Annual profit distribution. 
• Company lease car OR NS business card. 
• Private pension scheme.  
• Home office setup budget and monthly work-from-home allowance.  
• Regular social events.  

 
WHAT YOU'LL BRING TO THE TEAM

• Experience: 3+ years in consultancy, experienced in translating business requirements into technical requirements and in coordinating and executing IGA tool implementations (preferably Sailpoint, Omada, Saviynt or Entra) 
• Technical Skills: Good understanding of networking infrastructure & segmentations (i.e., Azure, Entra, Active Directory, SQL) and standard protocols (i.e., SCIM, REST, SOAP) 
• People Skills: You are a collaborative, proactive and (creative) problem solver and independent thinker who brings high accountability, values quality and has a continuous learning mindset. 
• Languages: Business proficient in English both written and verbal, Fluent in Dutch
• Education/certifications: It's a bonus if you already have certifications (i.e. CompTIA Security+, CISSP, MS Entra, or IGA vendors) - we will also help you get more! 
• Availability: You are available for at least 32 hours per week and can work from our Waardenburg office twice a week. 
• Driver's License: You have a valid EU driver's license. 
• Work Eligibility: You must already hold a valid working visa for and already live in the Netherlands or Belgium to qualify for this role. 
   

SOME FACTS ABOUT OUR IGA CONSULTANCY TEAMS

• You’ll be part of close-knit, diverse teams of 10+ technical consultants who value knowledge-sharing, collaboration, and continuous growth. 
• Our projects secure identities for local and international organizations (that have over 100,000 users across various regions of the world). As an example, we're currently managing the entire IAM stack for one of the biggest energy organizations in Europe. 
• Our team spends time every two weeks sharing knowledge, aligning on projects and celebrating successes. During our last team outing, we all managed to get dirty in the mud riding quads and shooting paintballs! 
• Every third Monday of the month we get together at the office to focus on the social aspect: talk about things other than work, play games and really build as a team.  
• Collectively, our team has experience with all technology leaders in the IGA marketspace. 
   

ABOUT SITS | TRAXION

As the Benelux leader in Identity & Access Management (IAM), we deliver top-tier consulting services since 2000. With over 100 specialists with 16+ nationalities we are passionate about enhancing cyber resilience through excellence, continuous growth, and a collaborative culture. As part of the SITS Group—a Swiss based leader in IT security—we are part of a network of top-class IT security providers that combine expertise, experience, and resources into a unified force for holistic security strategies.  

Our projects serve both local and international clients and span various sectors industries, including healthcare, pharma, energy, education, finance, retail, and government. 

Join us to work on high-impact projects whilst shaping cybersecurity. With opportunities for continuous learning, flexible working, and involvement in both local and international initiatives, you will be part of a dynamic team where your expertise truly makes a difference. 

. 

Ready to make an impact and secure Europe’s digital identities? Apply today! 

For any questions about this position or about us, contact: recruitment@traxion.com

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Spain or the Netherlands.

About the Team

About the Role

This is a 12-month fixed term contract. We're at an exciting but demanding point in our data platform journey, and we need extra capacity to help us move faster. There's real, meaningful work to do here — and plenty of scope to make your mark.

We're looking for a Data Platform Engineer to contribute to the design, development, and maintenance of our core data infrastructure. You'll work on pipelines, platform tooling, and data quality, helping us scale reliably and build good engineering habits along the way.

You'll report to the Senior Data Platform Manager and collaborate closely with Analytics, Data Science, and Platform Engineering. This is a hands-on role — you'll spend most of your time building, fixing, and improving, with growing opportunities to shape technical decisions as you settle in.

What you’ll do

Platform development & maintenance

• Build and maintain scalable data pipelines for ingestion, transformation, and delivery across the organization
• Contribute to the design and improvement of our data warehouse and lakehouse architecture
• Help consolidate and improve fragmented tooling, replacing manual processes with automated, repeatable solutions
• Support data quality, lineage tracking, and observability across our pipelines
• Work within our CI/CD workflows and contribute to infrastructure-as-code using tools like Terraform

Collaboration & documentation

• Partner with Analytics Engineering, Data Science, and Platform Engineering to understand data needs and deliver reliable platform capabilities
• Document data workflows, ownership guidelines, and engineering decisions to improve team clarity
• Contribute to the development of shared templates, standards, and best practices for pipeline development

Growth & learning

• Deepen your understanding of streaming architectures, data governance, and modern platform patterns
• Work alongside experienced engineers and take on increasing ownership of platform components over time

What you bring

• Solid experience as a data or software engineer working with data pipelines, warehousing, or platform infrastructure
• Hands-on experience with tools like Python, SQL, Terraform, and CI/CD pipelines
• Familiarity with cloud-native data infrastructure and batch or streaming data processing
• A collaborative mindset and the ability to communicate clearly across technical teams
• Comfort working in ambiguous environments where not everything is defined yet

Extra awesome

• Experience with Kafka or similar streaming technologies
• Exposure to data governance frameworks or data quality tooling
• Background in a B2B SaaS or product-led company
• Familiarity with reverse-ETL, data contracts, or event-driven architectures

The role

Factor is a healthy, ready-to-heat meal delivery service that has built a category-defining business in the US and Canada. Now we’re building Factor in Europe, and although we have strong blueprints from North America, we still need to tune our proposition to our European customers. 

As our Sr. Manager of Product Strategy, you will define and deliver the physical product roadmap for Factor Europe, helping us achieve product-market fit across all five of our European markets. You will research, validate, and articulate our customers’ “jobs to be done”, driving key decisions around our product assortment, pricing, and value proposition as a result. As a critical part of our Product team, you will be the ultimate champion of our customer: building a thorough understanding of their behaviours, needs, and pain points, and relentlessly iterating on our offering as we shape the future of the ready-to-heat category in Europe.

This is a rare kind of role: the strategic ownership of a senior leader, inside a business with real infrastructure and resources behind it, but with the ambiguity and pace of an early-stage startup. If you have a builder mindset, love deep-diving into data, and have a well-honed intuition for what makes great products work, we’d love to hear from you.

What you’ll do

Define our customer “jobs to be done” 

• Develop an extremely detailed understanding of the Factor Europe customer, using every source of quantitative and qualitative information at your disposal: internal data, external research, customer interviews, surveys, and more.
• Develop, iterate, and validate key hypotheses about how we can best address the needs and pain points of our customers, identifying where the US/CA model translates, where it doesn’t, and what needs to be built differently for European markets.

Build and deliver our product roadmap

• Develop a compelling physical product roadmap (product categories, dietary preferences, pricing, formats, etc) that identifies our greatest opportunities and focuses the team on our most important priorities, in collaboration with peer leaders across Culinary, Marketing, Operations, and other functions.
• Lead each initiative on your roadmap through the full product lifecycle: from scoping and business case through to launch and measurement. Be prepared to be hands-on.
• Partner with our Digital Product team, advocating for the digital experience that best supports our physical offering. 

Optimize customer retention and engagement

• Own customer retention as your north star metric. Work relentlessly to close the gap between where we are today and the levels we see in our best performing markets, and develop a clear, evidence-based view of what’s driving the difference.
• Work with our Digital Product team to prioritise experiments that optimise product performance, creating business cases and connecting product decisions to commercial outcomes.
• Share learnings widely across other brands and geographies, and partner with them to continuously improve the way we work and the results we achieve.

Who you are

• Strategic thinker who thrives in ambiguity. You can take an ill-defined problem, structure it, and chart a path forward, even when the data is incomplete.
• Analytically rigorous and data-fluent. You’re comfortable querying your own data and interrogating experiment results. 
• Strong product and customer sense. You have sharp intuition for what customers want, grounded in a disciplined approach to discovery and validation. You’ve built or shaped products that people love.
• Commercial mindset. You understand how product decisions flow through to the P&L.
• Cross-functional operator. You love to roll up your own sleeves, but also know how to get things done through other teams. You build trust quickly, drive execution through influence, and know how to get the right priorities on other teams’ roadmaps.
• Exceptional communicator and storyteller. You write and present with clarity and conviction, from strategy narratives to product briefs.
• Food and/or nutrition obsessed!

Requirements:

• Experience: 5-7+ years of experience in product strategy, product management, or a comparable role.
• Technical toolkit: Advanced skill in Excel/Google Sheets and proficiency with SQL is required.
• Strong preference for:

• You have experience with subscription or DTC businesses: you've worked on retention, lifecycle, and recurring revenue models.
• You’ve been an early product or strategy hire at a company finding its footing in a new market or segment.
• You have experience in physical products / FMCG, especially food & beverage.
• You’ve worked across multiple European markets and understand how consumer preferences vary across the continent.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

Practical details 

• Start date: asap
• End date: 7 or 12 months contract
• Indicative hours per week: 40 hrs
• Location:Amsterdam

What we offer

Compensation & Financial Wellbeing

• Enjoy 20% off HelloFresh and 40% off Factor_ subscriptions.
• Access the "Benefits at Work" platform for discounts on brands like Nike, Bol.com, and IKEA. 
• You'll receive a HelloFresh laptop, a €250 home office setup budget, and contribute to the Bedrijfspensioenfonds Levensmiddelen pension scheme (2026 rate 27.6%; employer pays 19.64%, employee pays 7.96%).

Health & Wellbeing

• Benefit from discounts on ClassPass and gym memberships via Bedrijfsfitness Nederland, free bootcamp classes (Amsterdam), and free subscriptions to Headspace and OpenUp.
• Get a 7,5% discount on additional health insurance at Zilveren Kruis in 2025.

Flexibility & Work-Life

• Work flexibly with our hybrid setup (50% office, 50% remote), plus a €2.40 daily remote work allowance.
• Receive 24 days of annual leave (pro-rated), plus one additional day per year of service (up to 30 days total).
• Full reimbursement for 2nd-class public transport to the office, plus €0.23 per km for car and bicycle travel.
• Eligible employees can work from another country for up to 8 weeks per year.

Career & Development

• Grow with our "Learning Never Stops" mindset:  access internal/external opportunities, and join our cross-market mentoring program.
• A dedicated annual budget to help you keep learning, developing new skills, and growing your career.

Culture & Environment

• Enjoy fresh homemade lunches in the office (€3.00/day), weekly vrij-mi-bo (Friday drinks), quarterly strategy sessions, and team events.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

The role

Factor is a healthy, ready-to-heat meal delivery service that has built a category-defining business in the US and Canada. Now we’re building Factor in Europe, and although we have strong blueprints from North America, we still need to tune our proposition to our European customers. 

As our Sr. Manager of Product Strategy, you will define and deliver the physical product roadmap for Factor Europe, helping us achieve product-market fit across all five of our European markets. You will research, validate, and articulate our customers’ “jobs to be done”, driving key decisions around our product assortment, pricing, and value proposition as a result. As a critical part of our Product team, you will be the ultimate champion of our customer: building a thorough understanding of their behaviours, needs, and pain points, and relentlessly iterating on our offering as we shape the future of the ready-to-heat category in Europe.

This is a rare kind of role: the strategic ownership of a senior leader, inside a business with real infrastructure and resources behind it, but with the ambiguity and pace of an early-stage startup. If you have a builder mindset, love deep-diving into data, and have a well-honed intuition for what makes great products work, we’d love to hear from you.

What you’ll do

Define our customer “jobs to be done” 

• Develop an extremely detailed understanding of the Factor Europe customer, using every source of quantitative and qualitative information at your disposal: internal data, external research, customer interviews, surveys, and more.
• Develop, iterate, and validate key hypotheses about how we can best address the needs and pain points of our customers, identifying where the US/CA model translates, where it doesn’t, and what needs to be built differently for European markets.

Build and deliver our product roadmap

• Develop a compelling physical product roadmap (product categories, dietary preferences, pricing, formats, etc) that identifies our greatest opportunities and focuses the team on our most important priorities, in collaboration with peer leaders across Culinary, Marketing, Operations, and other functions.
• Lead each initiative on your roadmap through the full product lifecycle: from scoping and business case through to launch and measurement. Be prepared to be hands-on.
• Partner with our Digital Product team, advocating for the digital experience that best supports our physical offering. 

Optimize customer retention and engagement

• Own customer retention as your north star metric. Work relentlessly to close the gap between where we are today and the levels we see in our best performing markets, and develop a clear, evidence-based view of what’s driving the difference.
• Work with our Digital Product team to prioritise experiments that optimise product performance, creating business cases and connecting product decisions to commercial outcomes.
• Share learnings widely across other brands and geographies, and partner with them to continuously improve the way we work and the results we achieve.

Who you are

• Strategic thinker who thrives in ambiguity. You can take an ill-defined problem, structure it, and chart a path forward, even when the data is incomplete.
• Analytically rigorous and data-fluent. You’re comfortable querying your own data and interrogating experiment results. 
• Strong product and customer sense. You have sharp intuition for what customers want, grounded in a disciplined approach to discovery and validation. You’ve built or shaped products that people love.
• Commercial mindset. You understand how product decisions flow through to the P&L.
• Cross-functional operator. You love to roll up your own sleeves, but also know how to get things done through other teams. You build trust quickly, drive execution through influence, and know how to get the right priorities on other teams’ roadmaps.
• Exceptional communicator and storyteller. You write and present with clarity and conviction, from strategy narratives to product briefs.
• Food and/or nutrition obsessed!

Requirements:

• Experience: 5-7+ years of experience in product strategy, product management, or a comparable role.
• Technical toolkit: Advanced skill in Excel/Google Sheets and proficiency with SQL is required.
• Strong preference for:

• You have experience with subscription or DTC businesses: you've worked on retention, lifecycle, and recurring revenue models.
• You’ve been an early product or strategy hire at a company finding its footing in a new market or segment.
• You have experience in physical products / FMCG, especially food & beverage.
• You’ve worked across multiple European markets and understand how consumer preferences vary across the continent.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

Practical details 

• Start date: asap
• End date: 7 or 12 months contract
• Indicative hours per week: 40 hrs
• Location:Amsterdam

What we offer

Compensation & Financial Wellbeing

• Enjoy 20% off HelloFresh and 40% off Factor_ subscriptions.
• Access the "Benefits at Work" platform for discounts on brands like Nike, Bol.com, and IKEA. 
• You'll receive a HelloFresh laptop, a €250 home office setup budget, and contribute to the Bedrijfspensioenfonds Levensmiddelen pension scheme (2026 rate 27.6%; employer pays 19.64%, employee pays 7.96%).

Health & Wellbeing

• Benefit from discounts on ClassPass and gym memberships via Bedrijfsfitness Nederland, free bootcamp classes (Amsterdam), and free subscriptions to Headspace and OpenUp.
• Get a 7,5% discount on additional health insurance at Zilveren Kruis in 2025.

Flexibility & Work-Life

• Work flexibly with our hybrid setup (50% office, 50% remote), plus a €2.40 daily remote work allowance.
• Receive 24 days of annual leave (pro-rated), plus one additional day per year of service (up to 30 days total).
• Full reimbursement for 2nd-class public transport to the office, plus €0.23 per km for car and bicycle travel.
• Eligible employees can work from another country for up to 8 weeks per year.

Career & Development

• Grow with our "Learning Never Stops" mindset:  access internal/external opportunities, and join our cross-market mentoring program.
• A dedicated annual budget to help you keep learning, developing new skills, and growing your career.

Culture & Environment

• Enjoy fresh homemade lunches in the office (€3.00/day), weekly vrij-mi-bo (Friday drinks), quarterly strategy sessions, and team events.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

#factor

#JD1008

In a nutshell 

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.

All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.

Tricks of the trade

You will definitely:

• Identify and execute improvement possibilities together with other ML Engineers and (product) analysts 
• Collaborate on your project from inception to production, to continuous improvement
• Develop tools and enhancements for our cloud-based Machine Learning platform

You could work on various projects and fields, such as: 

• Demand forecasting: delivery, article, trip volumes, used Picnic-wide
• Fraud detection: helping us keep troublemakers out of our store
• Recommendation systems: generating useful in-app grocery suggestions 
• Search and ranking: helping our customers find exactly what they need
• Predicting delivery drop-off times: making sure we’re on-time at every customer’s door
• Vision: ensuring quality control and smooth operations within our warehouses 

Check out some of our previous machine learning projects here:  https://blog.picnic.nl/tagged/machine-learning

We’re looking for

• Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
• 5+ years of experience in data science or applied machine learning 
• Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
• Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
• Strong Python and SQL skills
• Able to define the long-term vision and technical architecture for ML solutions within your domain
• Experience with Docker, Kubernetes, and CI is a plus

Picnic Perks 

🫱🏼‍🫲🏾 Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

💡 Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🥗 Fresh Lunch, coffee, and snacks 

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚲 Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

🌎 Relocation

If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 

📆 All the rest 

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. 

The role: What's in the Box

Factor Europe is scaling rapidly, and we are looking for a high-agency Product Analyst to be the first dedicated data hire within our Product team.

In this role, you will dive deep into our most pressing questions on our path to Product-Market Fit: honing in on the problems our customers face, what product decisions drive their behaviour, and why we are winning (or losing) with specific segments. You will be the technical bridge for a small, flat Product team (comprising Culinary R&D, Nutrition, Menu Planning, and Strategy), helping us define our product roadmap and continuously improve the customer experience.

This is an early stage opportunity for an analyst who wants to build. The Factor Europe team operates with the agility and urgency of a startup, but the resources and infrastructure of the HelloFresh Group. If that sounds like the perfect mix for you, we’d love to chat!

What you’ll do: The Recipe

1. Deep-Dive Research & Insights

• Perform in-depth analyses (e.g. cohort analysis, A/B tests) to evaluate the impact of every physical product decision we make, identifying which recipe / menu changes drive customer retention.
• Tackle complex and open-ended research questions, helping us validate leading hypotheses about our customers’ needs and behaviours, translating messy (and often imperfect) data into clear, digestible narratives.
• Triangulate quantitative data with qualitative feedback (customer reviews, sensory testing, and surveys) to build a 360-degree view of the customer.
• Proactively seek out and identify opportunities to improve our customer offering through independent research and analysis. 

2. Infrastructure & Tool Building

• Build and maintain the queries, dashboards, and automated GSheet tools that empower the rest of the Product team to find their own answers.
• Support the creation and tracking of relevant metrics that will help explain the causal relationship between our team’s weekly actions, customer engagement, and business performance.
• Automate repetitive data tasks, ensuring the team spends less time updating trackers and more time improving our product offering.

3. Be a Data Champion

• Build a culture of data-drivenness by promoting data literacy, quality, and best practice within the team.
• Improve and automate our weekly business performance review process, ensuring data is reliable and available, making this the most valuable meeting of the week.
• Serve as a data champion beyond the Product team, supporting in automating processes and conducting cross-functional analysis where Product intersects with Production and Procurement.

What you’ll bring: The Ingredients

• Bias for action: You don’t wait for research questions to come to you; you are curious about what makes our business successful and are constantly looking for insights that will give our team an edge. 
• Resourceful: You don’t get stuck easily: you dig, ask questions, and find a workaround to keep the project moving, even when data tables are messy or undocumented.
• A storyteller: You understand that data is useless if it isn’t understood; you make complex analysis digestible and actionable for everyone, from our Chefs to senior leadership.
• A builder: You thrive in the ambiguity of a pre-product/market fit environment, and get satisfaction from building the infrastructure (e.g. a tool or a sheet) that makes your teammates’ lives easier. 
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• Customer-obsessed: You’re able to move beyond the data and think through the real-world experience of our customers, building empathy for what delights and frustrates them
• Technical proficiency: Mastery of Excel/GSheets and SQL is a must. You should be comfortable using Python for data manipulation and Tableau for data visualization. Curiosity for and familiarity with AI tools is a major plus.
• Experience: 2-4 years of experience in a Product Analytics, Data Analytics, or highly quantitative Business Intelligence role. Experience in a high-growth startup, subscription / e-commerce, and/or FMCG environment is a major plus.
• Analytical rigour: You know how to structure an experiment, identify biases in data, and ensure that your insights are statistically sound.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

What we offer: The Toppings

Compensation & Financial Wellbeing

• Enjoy 20% off HelloFresh and 40% off Factor_ subscriptions.
• Access the "Benefits at Work" platform for discounts on brands like Nike, Bol.com, and IKEA. 
• You'll receive a HelloFresh laptop, a €250 home office setup budget, and contribute to the Bedrijfspensioenfonds Levensmiddelen pension scheme (2026 rate 27.6%; employer pays 19.64%, employee pays 7.96%).

Health & Wellbeing

• Benefit from discounts on ClassPass and gym memberships via Bedrijfsfitness Nederland, free bootcamp classes (Amsterdam), and free subscriptions to Headspace and OpenUp.
• Get a 7,5% discount on additional health insurance at Zilveren Kruis in 2025.

Flexibility & Work-Life

• Work flexibly with our hybrid setup (50% office, 50% remote), plus a €2.40 daily remote work allowance.
• Receive 24 days of annual leave (pro-rated), plus one additional day per year of service (up to 30 days total).
• Full reimbursement for 2nd-class public transport to the office, plus €0.23 per km for car and bicycle travel.
• Eligible employees can work from another country for up to 8 weeks per year.

Career & Development

• Grow with our "Learning Never Stops" mindset:  access internal/external opportunities, and join our cross-market mentoring program.
• A dedicated annual budget to help you keep learning, developing new skills, and growing your career.

Culture & Environment

• Enjoy fresh homemade lunches in the office (€3.00/day), weekly vrij-mi-bo (Friday drinks), quarterly strategy sessions, and team events.

About HelloFresh

HelloFresh is on a mission to change the way people eat, forever!

Since our 2011 founding in Europe’s vibrant tech hub, Berlin, we’ve become the world's leading meal kit provider, delivering to over 4.2 million households worldwide in 15 countries across 3 continents. 

Our more than 15,000 employees from over 70+ nationalities are the heart and soul of our diverse, fast-paced and dynamic environment where innovation and smart, fast action is encouraged. 

We will encourage you to make an immediate impact in your area of work as well as empower you to grow your career with us.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

#factor

#JD1008

The role: What's in the Box

Factor Europe is scaling rapidly, and we are looking for a high-agency Product Analyst to be the first dedicated data hire within our Product team.

In this role, you will dive deep into our most pressing questions on our path to Product-Market Fit: honing in on the problems our customers face, what product decisions drive their behaviour, and why we are winning (or losing) with specific segments. You will be the technical bridge for a small, flat Product team (comprising Culinary R&D, Nutrition, Menu Planning, and Strategy), helping us define our product roadmap and continuously improve the customer experience.

This is an early stage opportunity for an analyst who wants to build. The Factor Europe team operates with the agility and urgency of a startup, but the resources and infrastructure of the HelloFresh Group. If that sounds like the perfect mix for you, we’d love to chat!

What you’ll do: The Recipe

1. Deep-Dive Research & Insights

• Perform in-depth analyses (e.g. cohort analysis, A/B tests) to evaluate the impact of every physical product decision we make, identifying which recipe / menu changes drive customer retention.
• Tackle complex and open-ended research questions, helping us validate leading hypotheses about our customers’ needs and behaviours, translating messy (and often imperfect) data into clear, digestible narratives.
• Triangulate quantitative data with qualitative feedback (customer reviews, sensory testing, and surveys) to build a 360-degree view of the customer.
• Proactively seek out and identify opportunities to improve our customer offering through independent research and analysis. 

2. Infrastructure & Tool Building

• Build and maintain the queries, dashboards, and automated GSheet tools that empower the rest of the Product team to find their own answers.
• Support the creation and tracking of relevant metrics that will help explain the causal relationship between our team’s weekly actions, customer engagement, and business performance.
• Automate repetitive data tasks, ensuring the team spends less time updating trackers and more time improving our product offering.

3. Be a Data Champion

• Build a culture of data-drivenness by promoting data literacy, quality, and best practice within the team.
• Improve and automate our weekly business performance review process, ensuring data is reliable and available, making this the most valuable meeting of the week.
• Serve as a data champion beyond the Product team, supporting in automating processes and conducting cross-functional analysis where Product intersects with Production and Procurement.

What you’ll bring: The Ingredients

• Bias for action: You don’t wait for research questions to come to you; you are curious about what makes our business successful and are constantly looking for insights that will give our team an edge. 
• Resourceful: You don’t get stuck easily: you dig, ask questions, and find a workaround to keep the project moving, even when data tables are messy or undocumented.
• A storyteller: You understand that data is useless if it isn’t understood; you make complex analysis digestible and actionable for everyone, from our Chefs to senior leadership.
• A builder: You thrive in the ambiguity of a pre-product/market fit environment, and get satisfaction from building the infrastructure (e.g. a tool or a sheet) that makes your teammates’ lives easier. 
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• Customer-obsessed: You’re able to move beyond the data and think through the real-world experience of our customers, building empathy for what delights and frustrates them
• Technical proficiency: Mastery of Excel/GSheets and SQL is a must. You should be comfortable using Python for data manipulation and Tableau for data visualization. Curiosity for and familiarity with AI tools is a major plus.
• Experience: 2-4 years of experience in a Product Analytics, Data Analytics, or highly quantitative Business Intelligence role. Experience in a high-growth startup, subscription / e-commerce, and/or FMCG environment is a major plus.
• Analytical rigour: You know how to structure an experiment, identify biases in data, and ensure that your insights are statistically sound.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

What we offer: The Toppings

Compensation & Financial Wellbeing

• Enjoy 20% off HelloFresh and 40% off Factor_ subscriptions.
• Access the "Benefits at Work" platform for discounts on brands like Nike, Bol.com, and IKEA. 
• You'll receive a HelloFresh laptop, a €250 home office setup budget, and contribute to the Bedrijfspensioenfonds Levensmiddelen pension scheme (2026 rate 27.6%; employer pays 19.64%, employee pays 7.96%).

Health & Wellbeing

• Benefit from discounts on ClassPass and gym memberships via Bedrijfsfitness Nederland, free bootcamp classes (Amsterdam), and free subscriptions to Headspace and OpenUp.
• Get a 7,5% discount on additional health insurance at Zilveren Kruis in 2025.

Flexibility & Work-Life

• Work flexibly with our hybrid setup (50% office, 50% remote), plus a €2.40 daily remote work allowance.
• Receive 24 days of annual leave (pro-rated), plus one additional day per year of service (up to 30 days total).
• Full reimbursement for 2nd-class public transport to the office, plus €0.23 per km for car and bicycle travel.
• Eligible employees can work from another country for up to 8 weeks per year.

Career & Development

• Grow with our "Learning Never Stops" mindset:  access internal/external opportunities, and join our cross-market mentoring program.
• A dedicated annual budget to help you keep learning, developing new skills, and growing your career.

Culture & Environment

• Enjoy fresh homemade lunches in the office (€3.00/day), weekly vrij-mi-bo (Friday drinks), quarterly strategy sessions, and team events.

About HelloFresh

HelloFresh is on a mission to change the way people eat, forever!

Since our 2011 founding in Europe’s vibrant tech hub, Berlin, we’ve become the world's leading meal kit provider, delivering to over 4.2 million households worldwide in 15 countries across 3 continents. 

Our more than 15,000 employees from over 70+ nationalities are the heart and soul of our diverse, fast-paced and dynamic environment where innovation and smart, fast action is encouraged. 

We will encourage you to make an immediate impact in your area of work as well as empower you to grow your career with us.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
  • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
  • Collaborate with research teams on innovative machine learning experiments
  • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
    
    
• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Amsterdam office or full remote from any part of Netherlands.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring

• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
• Build tools to automate retraining, monitoring, and deployment of ML models
• Enhance collaboration features for ML stakeholders
• Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
  
  
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
• Optimize processing engines for scalability and latency
• Expand capabilities to support new databases and cloud platforms
• Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
  
  
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
• Develop customizable platforms for managing AI compliance and governance
• Simplify policy enforcement and integration across disparate systems
• Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45 min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

What does the hiring process look like? #LI-Remote #LI-AN1

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

We’re on a mission to become the go-to destination for students across Europe to find a trusted home away from home. We make every step of the rental journey simple and seamless, so students can focus on what really matters: studying, exploring, and growing.

With HousingAnywhere, Kamernet, and Studapart under our roof, we’re Europe’s largest student rental platform.

You’ll find us in Rotterdam, Paris, and Cergy, always guided by our four core values: Ownership, We are enablers, We are changemakers, and We are connectors.

Join us in empowering students unlock their potential through a safe, online, rental experience.

Your role & impact

We are looking for a data-driven professional who's excited to transform business questions into actionable insights that drive decisions. In this role, you’ll collaborate with commercial teams, to influence strategic planning and elevate business performance. You will work alongside talented and driven data peers in a dynamic environment to create real impact in HousingAnywhere's growth. 

The purpose of this role is to empower commercial teams with insights and recommendations to grow our marketplace and get the most out of our team:

• Collaborate closely with the commercial teams to translate business questions into analyses, synthesise insights and develop recommendations to drive business results.
• Define, develop and monitor the key metrics to measure operational performance and business outcomes, and identify drivers for changes in these metrics.
• Ensure business questions are addressed in the most effective format (ad-hoc deep-dive, recurring analysis, dashboards, self-serving functional tools).
• Empower stakeholders to independently leverage data for business insights via dashboards and self-serving tools, in close collaboration with the Analytics Engineering and Business Intelligence teams. 
• Develop dashboards and reports that support operational business processes.
• Support commercial teams' OKR planning and measurement.
• Identify and implement opportunities to enhance existing analytical processes and methodologies.

Your team
Our Commercial Analytics and Business Intelligence team is formed by 4 analysts from diverse backgrounds and experience levels. We collaborate closely with data engineers, analytics engineers, and data scientists to extract insights and drive informed decision-making.

Your profile
Required: 

• 4+ years experience as a Data Analyst, or equivalent role with a strong data/analytics component. 
• Analytical mindset, combined with good business sense and orientation.
• A good communicator who can present insights and recommendations clearly and persuasively to different audiences.
• Self-starter with strong project and time management skills.
• Proficient in SQL and Google Sheets, and experience with at least one dashboarding tool (Tableau, Looker, PowerBI, etc.).

Preferred: 

• Advanced knowledge of at least one statistical programming language (Python, R, etc.) is a plus.
• Previous experience in a high-growth, fast-paced tech company is a big plus.
• Experience creating interactive dashboards in Tableau.

What’s in it for you 

• Unlimited paid holidays, minimum-based not maximum!
• Hybrid working policy with 2 days working from the office.
• Flexibility to work remotely for up to 2 months per year!
• 1,000 EUR personal development budget.
• Complete coverage for commuting.
• 30% ruling application assistance. 
• Personal equipment, including laptop and ergonomic setup.
• Gym membership discount with GoVital or OneFit.
• Dutch/English classes budget.
• Variable pension scheme.
• Diverse international community (46+ nationalities).
• Pet-friendly office in Rotterdam city centre. 
• Fun team-building and after-work drinks every Friday.

What can you expect from our hiring process? Read more here.

At JetBrains, code is our passion. Since 2000, we’ve been dedicated to creating some of the most effective developer tools in the world. Our products automate routine checks and corrections, speeding up production and freeing developers to focus on growth, discovery, and creation.

We are currently looking for a Sales Excellence Manager (Business Partner) to join our new department.

The Business Partner Team

This brand-new team focuses on driving sales excellence through best practices, KPI management, and operational support across the entire sales process. Our broad scope includes:

• Leading sales discipline and performance

• Supporting CRM and data hygiene standards

• Enabling accurate forecasting

• Partnering closely with Sales to accelerate revenue growth

We are looking for a proven Business Partner who can own KPI management, support end-to-end sales processes, and ensure the highest standards of CRM hygiene and data quality. From day one, you will work cross-functionally and collaborate with sales leaders, becoming a trusted partner for a dedicated sales segment or product line.

What You'll Be Responsible For:

• KPI & Performance Management: Develop and continuously improve the KPI framework for sales teams, including performance analysis and efficiency tracking across all sales roles (including unmanaged sales).

• Goal Setting & Incentives: Manage the end-to-end goal-setting process, from initial KPI definition to final incentive payout.

• Sales Excellence Metrics: Develop and monitor key metrics such as pipeline quality, win–loss analysis, and CRM hygiene.

• Operational Support: Support SLA-driven processes such as lead uploads and data delivery for Sales initiatives.

• Forecasting & Reporting: Manage and improve sales forecasting accuracy in close collaboration with sales leaders. Prepare regular reports to track progress against plans and goals.

• Strategic Partnership: Partner closely with commercial unit leaders to support critical business decision-making.

• Process Improvement: Dive into day-to-day sales operations to proactively identify issues, refine processes, and provide relevant data support.

We're Looking for Candidates Who Have:

• Experience: Proven experience in KPI development, performance management, sales analytics, or Sales Operations.

• Technical Skills:

  • Strong analytical skills with hands-on experience in SQL.

  • Advanced Excel skills (functions, pivot tables).

• Mindset: A structured, logical approach to problem-solving, with a proactive, ownership-driven, and outcome-focused mindset.

• Education: A bachelor’s degree or higher, preferably in economics, finance, mathematics, IT, or management.

• Language: Professional proficiency in English (B1/B2 or higher).

It Would Be a Plus If You Have:

• Experience working with CRM systems (e.g., Salesforce) and improving data quality and hygiene.

• Experience setting up, supporting, or optimizing business and sales processes.

• Experience working closely with Sales, SDR, or Revenue teams.

#LI-HYBRID 

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.