About the Role

iCapital is looking for a Full-Stack Engineer to join the iCapital Identity Platform team. This role will help define and deliver new features for one or more of iCapital's software platforms. You will work closely with Product Management and Design throughout the software development lifecycle—scoping requirements, reviewing work in progress, and addressing issues uncovered during automated and manual testing.

The iCapital Identity frontend uses TypeScript, React, GraphQL, and Relay. The backend is built in Elixir/Phoenix, with some Goand Node.js, backed by PostgreSQL. Our infrastructure runs on AWS and is provisioned using Terraform.

Responsibilities:

• Leverage an Elixir + Phoenixbackend running on Amazon’s latest serverless technologies to power a TypeScript + React frontend
• Support existing products and features while helping design and build new ones
• Design and develop integrations with other iCapital platforms
• Collaborate regularly with stakeholders and partners to gather requirements, seek feedback, and provide updates

Qualifications:

• 10–15+ years of experience in a related field
• Strong understanding of modern browser technologies and web fundamentals (HTTP, cookies, CSP, CORS, etc.)
• Extensive experience developing full-stack web applications
• Experience in collaborative environments where engineers define project vision, influence technical strategy, and continuously learn
• Strong relational database fundamentals
• Excellent written and verbal communication skills
• Demonstrated proficiency and professional success coding in at least one programming language
• Experience with Linux and strong command-line skills

Preferred/Additional Experience 

• Writing production-ready code in Elixir, TypeScript, JavaScript, Go, or Ruby

• Optimizing queries in PostgreSQL
• Developing with React, Vue, Angular, or LiveView
• Deploying and configuring applications on Amazon Web Services (AWS)
• Prior experience in a security or penetration-testing role
• Querying Google BigQuery or other large relational datasets
• Technical leadership, team lead, or management experience

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

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

About the role:

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

About you:

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

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

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

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

You’ll have the following skills and experience:

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

You’ll be:

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

Benefits you'll get:

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

Our typical Recruitment Process looks like this:

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

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

Check out our LinkedIn page

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

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

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

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

This role is suitable for experienced Data Engineers with 3 years plus of experience, so only apply for this role if your experience matches that criteria. This is a Data Platform Engineering role sitting within our Platform Engineering department, alongside our Infrastructure and Dev Platforms teams. You will be building the data platform that the rest of DataCamp depends on, not doing analytics work for a single business unit.

DataCamp, being a data-driven organization, runs a Datalakehouse on Google Cloud's BigQuery and our reporting is created using our Looker BI tooling. This BI reporting capability helps the DataCamp leadership team steer the company OKRs and vision, and it also helps our engineering teams make data-driven decisions on everything we do. Data also helps us measure how successful our product features or initiatives have been.

To provide data analytics for all our staff, DataCamp has a completely automated data pipeline built using an "infrastructure as code" methodology with Terraform and Ansible, which allows infrastructure provisioning of all data engineering tooling. DataCamp operates a data pipeline that ingests data using Airbyte, and our Airflow cluster schedules a series of tasks each day to transform and clean our data and seed our data marts that are authored using DBT, which helps simplify reporting for each of our business units.

DataCamp currently has data marts for finance, engineering KPIs, engineering costs, and infrastructure cost, to make reporting as easy as possible for our stakeholders in those business units, and we aim to extend that offering. DataCamp's leadership team, data scientists, data analysts and engineers all require the latest datasets to be refreshed on a daily basis so they can do their daily tasks. It is expected that the data platform engineering team makes sure there are no issues with the daily refresh of data and also provides consultancy on best practices such as data ingestion, data mart design, or data product design.

A large part of this role is enabling AI agents and MCPs across the company. We are in a strong agent-first engineering push at DataCamp. That means the data platform is no longer just serving humans through Looker dashboards, it is serving Claude, Claude Code and other agents through MCP servers that expose BigQuery, dbt metadata, data marts and internal tooling in a safe, governed way. You will be building and maintaining those MCPs, shaping how teams across DataCamp get data into their agent workflows, and setting the standards for how agent-authored changes land in our data platform.

What to expect from DataCamp if you join us as a Data Engineer

It will be your role, as part of the Platform Engineering department, to work directly with our staff data engineer, the wider platform engineering teams, our data science and analytics teams, and stakeholders across product and engineering on all data initiatives, both internally and as part of DataCamp's data products.

You should join us at DataCamp if you want to be fully supported in learning how to create and maintain best-in-class data platform engineering processes in an agent-first environment. If you enjoy learning in a team environment, our data and platform experts will be on hand to provide a support network to help you in your career development. You will also be empowered to have creative freedom to shape the processes and roadmap for data platform engineering at DataCamp, including how we expose data to agents, how we govern agent access to production data, and how we measure the impact of agent-assisted data work.

You will spend a meaningful portion of your time working with and through AI agents, writing AGENTS.md specifications, building MCP connectors, designing skills, and using Claude Code day to day to move faster on pipeline work, dbt changes, and operational tasks. If all of this sounds exciting, then this could be the ideal job for you. We don't expect you to know everything when you join, but we want you to be as passionate about data and agent workflows as we are. What we expect in return is that you are naturally inquisitive, open to constructive feedback, and willing to learn and grow every day.

This role should give you a collaborative working environment to become a world-class data platform engineer and help you in your career. Our aim is for you to build the skills needed to consult and advise on data mart design, data product design, MCP architecture, and how to leverage AI agents to improve our internal processes. You will also be involved in helping our content team provide data engineering courses on Redshift, BigQuery, Snowflake, and all the different widely used data warehousing tooling. This may sound like a lot, and it is, but within our Platform Engineering department we are confident we can support you every step of the way and we can achieve these outcomes as a team.

What do we expect from you as a Data Engineer

DataCamp has a strong bias towards providing self-serve systems for our teams so they can access the data they need to make data-driven decisions. That bias now extends to agents, where teams should be able to reach data through MCPs without us becoming a bottleneck. This means the data pipeline, MCP surfaces, and data development process need to be available, governed, and functional rather than a central bottleneck in the company.

You will, under the guidance of our staff data engineer, play a key part in planning future improvements for our whole data platform: the pipeline itself, the data development process, the testing process for data changes, and the agent and MCP surfaces that sit on top of it.

We need you to be enthusiastic and proactive by owning your day-to-day work or any operational issues that occur. We aim to do 80 percent capability development via planned quarterly OKR work and 20 percent support work. This work balance can only be achieved by automating everything we do and by leaning hard on agents to remove toil. We believe Data Platform Engineering should be a force multiplier for the business — both by giving humans self-serve data and by giving every team a reliable agent-accessible path to the data they need.

To be successful in the role it is essential you know Python and can write and advise on SQL best practices. Having an understanding of data ingestion, data processing, reverse ETL, a passion for data governance, and acting as a gatekeeper for security on our data platform is also a must. Comfort working with and through AI agents, not just using them to autocomplete, but designing workflows around them is also essential.

The ideal candidate

• Is an experienced Data Engineer of 3 years plus.
• Has experience of data warehousing (e.g. BigQuery or Snowflake) and data engineering related tools (e.g. Airflow, Looker, Metabase, Fivetran, Airbyte).
• Has knowledge of cloud platforms (AWS, GCP or Azure).
• Can develop in Python and write SQL.
• Has hands-on experience using AI coding agents (Claude Code, Cursor, or similar) as part of their day-to-day engineering workflow.
• Understands what MCP is, or is willing to learn it fast, and can reason about how to safely expose data and tooling to agents.
• Understands Scrum and Kanban.
• Has excellent oral and written communication skills, including the ability to write clear specifications for agents (AGENTS.md, skills, prompts).
• Is interested in understanding and scaling complex data pipelines.
• Is interested in monitoring and self-healing systems.
• Is highly organized with a flexible, can-do attitude and a willingness and aptitude for learning.
• Improves the team with code reviews, technical discussions, and documentation — including reviewing agent-authored PRs with a critical eye.
• Is able to work collaboratively in teams and develop meaningful relationships to achieve common goals.

It's a plus if

• You have experience in dbt.
• You have experience in Docker, CI/CD, Kubernetes.
• You have experience of data marts.
• You have experience with Infrastructure as Code (Terraform, Ansible, etc.).
• You have built or contributed to an MCP server, or integrated one into an agent workflow.
• You have experience with data catalog and governance tooling exposed through agent interfaces.
• You are passionate about data science, education, and applying AI agents to real engineering problems.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
• Competitive compensation: We offer a competitive salary with attractive benefits.
• Flexibility: Benefit from flexible working hours because the future is flexible! 
• Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
• Global retreats: Participate in international company retreats, fostering a global team spirit.
• Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
• Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

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

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

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

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

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

AI-Forward Mandate

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

What You'll Own

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

Analytics Engineering — via Director/Lead

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

Data Science — via Director/Lead

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

Product Analytics — via Director/Lead

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

Leadership Scope

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

What We're Looking For

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

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

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being a software engineer at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include:  JavaScript, TypeScript, React, Ruby on Rails, Golang, Python, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. If you’re unsure, please apply.

About the Service Management Team

The Service Management team is here to help us move beyond manual tasks by building thoughtful, automated systems. We are not just looking to tweak existing processes. Instead, we want to create technology that handles the heavy lifting. We look at everything from how we scale our internal workflows to how we can use artificial intelligence to make our operations feel seamless and effortless for the people using them.

Working in this team means you will have a chance to see how all the different parts of GoCardless fit together. You will build integrations that connect our big data systems, our core payment product, and our fraud detection engines. This gives you a great deal of variety in your work and ensures you are never stuck in just one corner of the codebase. You will get to see the real-world impact of your code as it helps customers through every stage of their journey on our platform.

We believe that great engineering is a team sport and that we build better things when we include different perspectives and ways of thinking. We are looking for people who are naturally curious and enjoy figuring out how things work. This role is a great fit if you value collaboration, enjoy learning about different technologies, and like the idea of experimenting with new ways to solve a problem.

What excites you 

• You have a growth mindset, motivated by driving concrete business outcomes.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.

What excites us  

• You have experience building web products and services, and have an awareness of technologies across the stack.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You care about building reliable, well-tested systems.
• You enjoy solving problems and are happy to take initiative to find better solutions.

Base salary range: €39,200 - €58,800

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being a software engineer at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include:  JavaScript, TypeScript, React, Ruby on Rails, Golang, Python, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. If you’re unsure, please apply.

About the Service Management Team

The Service Management team is here to help us move beyond manual tasks by building thoughtful, automated systems. We are not just looking to tweak existing processes. Instead, we want to create technology that handles the heavy lifting. We look at everything from how we scale our internal workflows to how we can use artificial intelligence to make our operations feel seamless and effortless for the people using them.

Working in this team means you will have a chance to see how all the different parts of GoCardless fit together. You will build integrations that connect our big data systems, our core payment product, and our fraud detection engines. This gives you a great deal of variety in your work and ensures you are never stuck in just one corner of the codebase. You will get to see the real-world impact of your code as it helps customers through every stage of their journey on our platform.

We believe that great engineering is a team sport and that we build better things when we include different perspectives and ways of thinking. We are looking for people who are naturally curious and enjoy figuring out how things work. This role is a great fit if you value collaboration, enjoy learning about different technologies, and like the idea of experimenting with new ways to solve a problem.

What excites you 

• You have a growth mindset, motivated by driving concrete business outcomes.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.

What excites us  

• You have experience building web products and services, and have an awareness of technologies across the stack.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You care about building reliable, well-tested systems.
• You enjoy solving problems and are happy to take initiative to find better solutions.

Base salary range: €49,600 - €74,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

About the Role 

We are looking for a Senior .NET Developer who combines deep technical expertise with a passion for code quality, mentorship, and collaborative delivery. In this role you will lead efforts to modernize and evolve our platform, drive engineering best practices, and work alongside product, design, and data teams to ship reliable software at scale.

You bring a proven track record in .NET development, a sharp understanding of modern deployment pipelines, and the architectural awareness to build systems that scale across tenancy models and data workloads.  

Core Responsibilities 

Technical Leadership & Code Modernization 

• Lead architectural decisions for migrating a legacy single tenant .NET 8 application into an existing multitenant framework. 
• Champion clean code principles and drive technical roadmaps that reduce technical debt while maintaining delivery velocity. 
• Evaluate and introduce tooling, libraries, and frameworks that improve developer experience and system reliability. 
• Mentor junior and mid-level engineers through pairing, design reviews, and structured knowledge-sharing sessions. 

Code Review & Quality Assurance 

• Conduct constructive code reviews that uphold team standards and serve as teaching opportunities. 
• Define and enforce coding standards, naming conventions, and architectural guidelines across the team. 
• Identify systemic quality issues through review patterns and proactively propose process improvements. 
• Act as a trusted technical reviewer for high-risk or cross-cutting changes before they reach production. 

Cross-Functional Collaboration 

• Partner closely with stakeholders to translate business requirements into accurate technical estimates and clear implementation plans. 
• Collaborate with data engineers on warehouse integrations and backend data pipelines, ensuring scalable and maintainable interfaces. 
• Work with DevOps and platform teams to define deployment patterns and promote infrastructure-as-code practices. 
• Facilitate cross-team alignment through clear written communication, architectural decision records (ADRs), and documentation. 

Quality Engineering & Testing with TDD 

• Apply test-driven development (TDD) as a core engineering discipline, writing unit, integration, and contract tests before implementation. 
• Design and maintain test suites that give the team confidence to refactor and deploy frequently. 
• Champion a shift-left testing culture by embedding quality practices into every stage of development, not just QA cycles. 
• Ensure test coverage benchmarks are defined, tracked, and continuously improved. 

Communication & Process Leadership 

• Lead sprint ceremonies including planning, retrospectives, and backlog grooming with clarity and accountability. 
• Produce high-quality technical documentation including runbooks, API contracts, and onboarding guides. 
• Surface blockers and dependencies early, communicating status and risk proactively to stakeholders. 
• Contribute to a culture of psychological safety where candid, constructive feedback is the norm. 

Required Qualifications 

• 5+ years of professional software development experience with a focus on .NET. 
• .NET proficiency, including ASP.NET Core, Entity Framework Core, and the modern .NET runtime ecosystem. 
• Demonstrated experience modernizing legacy web applications — refactoring, re-architecting, or re-platforming from older monolithic web applications to modern platform fabrics. 
• Solid understanding of CI/CD pipelines, including pipeline design, automated test gating, artifact management, and deployment strategies (blue/green, canary, rolling). 
• Clear understanding of single-tenancy vs. multi-tenancy architecture patterns and the trade-offs in security, isolation, scalability, and cost. 
• Experience with test-driven development and a strong testing philosophy covering unit, integration, and end-to-end coverage. 
• Strong written and verbal communication skills; able to write clear technical documentation and lead design discussions. 

Preferred Qualifications 

• Claude code, Copilot, or the leverage of any AI platform to increase production output is a strong plus. 
• Experience with large-scale data warehousing solutions; Google BigQuery experience is a strong plus. 
• Frontend experience with Vue.js 3 — component architecture, Composition API, and state management patterns. 
• Familiarity with observability tooling such as OpenTelemetry, Prometheus, Datadog, or similar. 
• Experience working in a platform or multi-product engineering environment. 

Benefits:

• Five9 Shares
• Bonus Scheme
• 10% Flexi Benefit
• Meal Allowance
• Medical Insurance
• Life Insurance 
• 25 day Annual Leave + Public Holidays

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
• Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
• Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
• Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
• Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

What excites you

• Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.
• Mentoring a high-performing team and fostering a culture of technical excellence.
• Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• 2+ years managing Data Scientists within complex, high-stakes domains.
• A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.
• A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
• Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.
• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being an Engineering Manager at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task.

Technologies we use across GoCardless include: Ruby on Rails, Golang, Python, JavaScript, TypeScript, React, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

The role

This is an exciting and unique opportunity to join GoCardless in our new Lisbon hub as an Engineering Manager.

As one of the founding employees in a Lisbon hub, you’ll be helping us build creative and fulfilled product engineering teams, technically leading them to become the best engineers they can be.

You will lead talented and creative engineers who build products and systems they are proud of. You will push for exceptionally high-quality work and empower our engineers to make a big impact.

Joining us at this stage means your work will have an impact on the success of our new hub, but also across the wider GoCardless organisation. This is a fantastic chance to be part of something new, innovative and truly aligned with our mission to simplify payments globally.

What excites you 

• Shipping stuff: you’ll work with your team to support changes to completion, delivering consistent positive impact across your product area. Being comfortable delivering a range of projects: from MVP experiments testing a hypothesis to a new feature
• Developing talent: You hire and grow engineers into being the best engineers they can be, while maintaining a supportive and engaging team culture
• Raising the technical bar: You insist on high standards of technical design and implementation and ensure your systems are operationally excellent
• Deliver project work while managing the expectations of your stakeholders
• Plan and prioritise impactful technical investment initiatives for your teams
• Be a reflection of the GC Values that help us work with one another effectively

What excites us  

• Professional experienced in coding - with Ruby on Rails for backend and JavaScript/React on frontend, and a commitment to building reliable, well-tested systems
• Enthusiastic about working in a strong culture of experimentation, testing and learning - to help us in experimenting ways to grow our product!
• Someone excited about supporting and growing a group of engineers, helping them become the best engineers they can be
• Somebody able to effectively communicate - mainly technical topics to technical and non-technical audiences
• Collaboration and cross-functional work - we have a Product Manager, Designer and BI Analyst as part of our team and work with a lot of other commercial teams across the business
• High agency: We’re after people who aren’t afraid of a challenge and will take ownership of problems they come across, help to resolve them and adapt to a constantly changing environment 

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply. 

Base salary range: €70,400 - €105,600

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.