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Head of Data Engineering

Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits

This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.

The Company

They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.

The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.

The Role

You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.

Responsibilities include:

• Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
• Defining and executing the data engineering roadmap in partnership with senior leadership
• Driving delivery across platform development, data migrations, and modernisation initiatives
• Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
• Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
• Developing cloud-based data platforms that support analytics, reporting, and AI use case
• Managing stakeholder relationships across technology, product, analytics, and business teams
• Ensuring platform reliability through monitoring, incident management, and operational governance
• Supporting hiring, team development, and succession planning within the engineering function
• Championing best practices across Data Engineering, DataOps, and platform operations

Your Skills & Experience

• Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
• Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
• Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
• Experience building and scaling engineering teams while maintaining high technical standards
• Ability to lead architectural discussions and make informed technical decisions
• Experience implementing CI/CD, automation, testing, and DataOps best practices
• Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
• Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
• Familiarity with governance, security, and compliance requirements within enterprise environments
• A hands-on leadership style with the ability to support technical teams when needed

What They Offer

• Salary between €110,000 and €150,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Flexible and hybrid working arrangements
• Opportunity to shape and scale an entire Data Engineering function
• Significant exposure to senior leadership and strategic decision-making
• Clear progression towards Director-level and broader Data & AI leadership responsibilities
• The chance to influence the organisation’s long-term data and AI strategy

How to Apply

If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.

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Data Engineer

Eindhoven, The Netherlands

Salary: 5k a month + holiday

If you’re looking for a role where you can shape an entire data function from the ground up, this is a rare opportunity to make a lasting impact. Joining a fast-growing SaaS business operating in the healthcare space, you’ll be the first dedicated Data Engineer, owning the design, build, and evolution of the company’s data platform in a truly greenfield environment.

The Company

They are a scaling SaaS organisation with a strong product offering and growing international customer base. With data becoming increasingly central to business decision-making and product development, they are investing in building modern data capabilities from scratch. This is an opportunity to influence architecture, technology choices, and best practices from day one. You’ll work closely with stakeholders across the business while helping establish the foundations for a future data team.

The Role

You will take ownership of the company’s data engineering capability, designing and delivering a scalable data platform that supports analytics, reporting, and future data initiatives.

Responsibilities include:

• Designing and building a modern cloud-based data platform from the ground up
• Developing robust ETL and ELT pipelines to ingest, transform, and manage data from multiple SaaS applications and operational systems
• Establishing data modelling standards and scalable data architecture
• Owning data quality, reliability, governance, and monitoring processes
• Partnering with product, engineering, finance, and commercial teams to understand business requirements
• Creating the foundations for self-service analytics and reporting
• Evaluating and selecting appropriate tools, technologies, and frameworks
• Supporting the longer-term growth and maturity of the company’s data function

Your Skills & Experience

• Strong commercial experience as a Data Engineer within a modern cloud environment
• Expertise building data pipelines and data platforms from scratch
• Advanced SQL skills and strong data modelling capabilities
• Experience with cloud platforms such as AWS, Azure, or GCP
• Hands-on experience with modern data stack technologies, including tools such as Snowflake, Databricks, BigQuery, Redshift, dbt, or equivalent
• Strong Python or similar programming skills
• Experience working with SaaS product data and multiple third-party integrations
• Ability to operate independently and take ownership in a standalone Data Engineering role
• Strong stakeholder management and communication skills
• Passion for building scalable, maintainable, and well-documented data solutions

What They Offer

• Salary of €55,000 – 60,000 depending on experience
• Meaningful equity or share incentive opportunity
• Hybrid working model based in Amsterdam
• Comprehensive benefits package
• Significant autonomy and ownership from day one
• Opportunity to define data strategy, architecture, and best practices
• Clear progression path into a future Lead Data Engineer or Head of Data position as the function grows
• Exposure to senior leadership and direct influence on business decisions

How to Apply

If you’re a Senior Data Engineer who enjoys building data platforms from scratch and wants to play a pivotal role in a growing SaaS business, apply today to find out more.

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Data Engineer – Saas – healthcare

Eindhoven – Netherlands | €64,000

Azure – Python – SQL

This is an opportunity to join a growing data team where you will play a key role in building scalable data solutions that power business reporting, analytics, and decision-making. You’ll work with modern cloud technologies and have direct influence on the evolution of the data platform.

The Company

They are a technology-led organisation investing heavily in data and analytics capabilities. With a strong focus on data quality, scalability, and governance, they are building a modern data environment to support business growth and innovation. Collaboration, ownership, and continuous improvement are central to their culture.

The Role

Design and develop scalable data pipelines and ETL processes
Build and maintain analytical data models and semantic layers
Create robust, secure, and high-performing datasets for reporting and analytics
Optimise data platform performance, reliability, and cost efficiency
Implement data governance, quality controls, and security best practices
Partner closely with analysts and stakeholders to translate business requirements into technical solutions

Your Skills & Experience

Strong commercial experience in Data Engineering
Advanced SQL skills and experience with Python or PySpark
Experience building ETL pipelines and dimensional data models
Knowledge of modern cloud data platforms, lakehouse architectures, or similar environments
Understanding of data governance, security, and performance optimisation
Strong communication skills and the ability to work with both technical and non-technical stakeholders

What They Offer

Competitive salary and benefits package
Opportunity to work with modern data technologies
High-impact role with ownership and autonomy
Collaborative and supportive team environment
Clear opportunities for professional development and career progression

How to Apply

If you’re interested in building scalable data solutions and driving the growth of a modern data platform, apply today.

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Analytics Engineer

Freelance role

Amsterdam (Hybrid)

This is an excellent opportunity for an Analytics Engineer to play a key role in shaping a growing data function. You’ll sit at the intersection of Data Engineering and Analytics, helping to build scalable data models, improve data accessibility, and enable better decision-making across the business.

The Company

They are a fast-paced, technology-driven organisation with a strong focus on data as a strategic asset. Operating in a complex, data-rich environment, they are continuing to invest heavily in their data platform and analytics capabilities.

The team is collaborative, ambitious, and focused on delivering high-quality data solutions that create measurable business impact. Experience from FinTech environments is particularly valued, although professionals from other high-growth technology businesses will also be considered.

The Role

You will:

• Develop and maintain robust data models using dbt and SQL.
• Build scalable and reliable analytics datasets that support reporting and decision-making.
• Act as a bridge between Data Engineering and Analytics teams, ensuring data is transformed into meaningful business insights.
• Work closely with stakeholders to understand data requirements and translate them into effective solutions.
• Improve data quality, testing, documentation, and governance practices.
• Contribute to the evolution of the data platform and analytics engineering best practices.

Your Skills & Experience

• Strong commercial experience with dbt.
• Advanced SQL and data modelling expertise.
• Proven ability to work across both engineering and analytics functions.
• Experience building and maintaining modern data transformation pipelines.
• Strong stakeholder management and communication skills.
• Experience within FinTech is highly desirable.
• Candidates from high-growth technology businesses or blended banking and technology environments are also encouraged to apply.
• Passion for creating scalable, well-documented, and high-quality data assets.

What They Offer

• Contract rate
• Competitive benefits package.
• Hybrid working model with flexibility.
• Opportunity to influence a growing data function and have a visible impact on business outcomes.
• Exposure to modern data tooling and best practices.
• Clear scope for professional development and career progression within a high-performing team.

How to Apply

If you’re an Analytics Engineer with strong dbt and SQL data modelling experience and are looking to make a tangible impact within a growing data team, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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Founding Data Engineer

Amsterdam or London | from €80,000 + Benefits

This is an opportunity for a Data profile who wants ownership, influence, and the chance to build something from the ground up. Rather than joining a large data team and owning a small piece of the puzzle, you will define the company’s entire data landscape, from architecture and tooling to governance and reporting.

The Company

They are a growing investment organisation focused on backing innovative technology businesses. Data sits at the heart of their decision-making, but information is currently spread across multiple systems, spreadsheets, and reporting tools. They are looking for someone to build a modern, scalable data environment that will support the business for years to come.

The Role

• Build the company’s first data warehouse and centralised data platform
• Design the data architecture and recommend the technology stack
• Consolidate data from CRM systems, spreadsheets, reporting tools, and external platforms
• Develop automated data pipelines and API integrations
• Establish data governance, quality standards, and business definitions
• Partner closely with finance, operations, and investment teams
• Shape the long-term data and analytics strategy

Your Skills & Experience

• Strong commercial experience in Data Engineering, Analytics Engineering, or Data Consulting
• Experience building or transforming data environments from scratch
• Strong SQL and Python skills
• Experience with APIs, data warehousing, and modern cloud technologies
• Excellent stakeholder management and communication skills
• Understanding of investment, private equity, financial services, or portfolio data
• Degree in Finance, Economics, Mathematics, Computer Science, Engineering, or a related quantitative discipline is beneficial
• This role is particularly suited to someone coming from a consultancy or a smaller business environment. You will enjoy solving greenfield challenges, making technology decisions, and operating with a high degree of autonomy.

What They Offer

• End-to-end ownership of the data function
• Direct exposure to senior leadership
• The opportunity to build a modern data platform from day one

How to Apply

If you enjoy building rather than maintaining, and want to shape the future of a company’s data capability, apply today.

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Head of Data Engineering
Remote (Netherlands) | £150,000 + Benefits

This is a unique opportunity to take ownership of a growing data platform within a globally distributed organisation operating at the intersection of healthcare, life sciences, and commercial consulting. You will help shape the long-term data strategy, establish engineering best practices, and build a scalable platform that delivers measurable business impact across the organisation.

The Company

They are a global services organisation supporting pharmaceutical and healthcare clients with data, analytics, and commercial operations solutions. With teams located across North America, Europe, and Asia, they operate within a highly collaborative and fully remote environment.
The business is investing significantly in its data capabilities and has already begun building a modern cloud-based data platform. They are now looking for an experienced data leader to take ownership of the platform, drive technical excellence, and help scale both the technology and the team.

The Role

You will lead the evolution of a modern data platform while partnering closely with engineering, business stakeholders, and leadership teams across multiple regions.

Key responsibilities include:

• Own and develop the organisation’s centralised data platform and analytics capabilities
• Define the long-term data engineering roadmap aligned to business objectives
• Drive architectural decisions in partnership with senior engineering leadership
• Establish engineering best practices across delivery, quality, governance, and scalability
• Introduce and embed Agile, Scrum, DevOps, and modern software development ways of working
• Lead and mentor a team of Data Engineers based in India, while supporting future team growth
• Work closely with stakeholders across the US, Europe, and Asia to prioritise delivery and maximise business value
• Improve data accessibility, reduce duplication, and create a scalable foundation for analytics and reporting
• Support the processing and management of high-volume datasets at enterprise scale
• Promote the effective use of AI-enabled development tools and engineering productivity improvements
• Act as the senior data engineering voice within the business, influencing both technology and operating models

Your Skills & Experience

Strong leadership experience within Data Engineering, Data Platform, or Analytics Engineering environments

• Proven ownership of cloud-based data platforms from strategy through to delivery
• Strong commercial experience with Snowflake and dbt
• Experience working with Python and SQL within modern data ecosystems
• Exposure to cloud technologies including AWS and Azure
• Knowledge of orchestration and pipeline tools such as Airflow
• Ability to balance strategic leadership with technical decision making
• Experience mentoring and developing high-performing engineering teams
• Strong stakeholder management skills across business and technical audiences
• Comfortable working within distributed teams and multiple time zones
• Experience operating within both fast-paced, lean organisations and larger enterprise environments
• Passion for building data cultures, improving engineering standards, and delivering business impact through data

What They Offer

Competitive base salary
Fully remote working from Netherlands
Opportunity to own and shape a business-critical data platform
Exposure to executive stakeholders and strategic technology decisions
Chance to build and scale a high-performing data engineering function
Collaborative international environment with significant growth plans
Strong focus on innovation, AI adoption, and modern engineering practices

How to Apply

If you are looking for an opportunity to combine data platform ownership, people leadership, architecture, and business impact in a growing international organisation, please apply with your latest CV.

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AI Engineer (Contract)

Amsterdam / Hybrid | Competitive Day Rate | Contract

A digital-first organisation is looking for an AI Engineer Contractor to help deliver Generative AI solutions across its analytics and reporting landscape.

The Role

Build and deploy GenAI applications
Develop AI-powered analytics and reporting solutions
Deliver production-ready tools that drive business value
Work closely with Data & AI stakeholders

Your Skills & Experience

Hands-on experience with Generative AI and LLMs
Experience deploying AI solutions into production
Strong Python and modern AI tooling experience
Background delivering analytics-focused use cases

What They Offer

Competitive contract rate
High-impact AI projects
Opportunity for contract extension

To Apply for this Job Click Here

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Analytics Engineer (Contract)
Amsterdam / Hybrid | Competitive Day Rate | 3-Month Contract

A growing digital business is looking for an Analytics Engineer Contractor to strengthen its data platform during a major Data & AI transformation.

The Role
Build and maintain data models using SQL and DBT
Work across a modern cloud data stack
Support multiple high-impact analytics projects
Collaborate with Data Engineers and Data Scientists

Your Skills & Experience
Strong SQL and DBT experience
Experience with Airflow and cloud platforms
Proven background in analytics engineering and data modelling

What They Offer
Competitive contract rate
Initial 3-month contract with extension potential
Fast two-stage interview process

To Apply for this Job Click Here

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Analytics Engineer

Freelance role

Amsterdam (Hybrid)

This is an excellent opportunity for an Analytics Engineer to play a key role in shaping a growing data function. You’ll sit at the intersection of Data Engineering and Analytics, helping to build scalable data models, improve data accessibility, and enable better decision-making across the business.

The Company

They are a fast-paced, technology-driven organisation with a strong focus on data as a strategic asset. Operating in a complex, data-rich environment, they are continuing to invest heavily in their data platform and analytics capabilities.

The team is collaborative, ambitious, and focused on delivering high-quality data solutions that create measurable business impact. Experience from FinTech environments is particularly valued, although professionals from other high-growth technology businesses will also be considered.

The Role

You will:

• Develop and maintain robust data models using dbt and SQL.
• Build scalable and reliable analytics datasets that support reporting and decision-making.
• Act as a bridge between Data Engineering and Analytics teams, ensuring data is transformed into meaningful business insights.
• Work closely with stakeholders to understand data requirements and translate them into effective solutions.
• Improve data quality, testing, documentation, and governance practices.
• Contribute to the evolution of the data platform and analytics engineering best practices.

Your Skills & Experience

• Strong commercial experience with dbt.
• Advanced SQL and data modelling expertise.
• Proven ability to work across both engineering and analytics functions.
• Experience building and maintaining modern data transformation pipelines.
• Strong stakeholder management and communication skills.
• Experience within FinTech is highly desirable.
• Candidates from high-growth technology businesses or blended banking and technology environments are also encouraged to apply.
• Passion for creating scalable, well-documented, and high-quality data assets.

What They Offer

• Contract rate
• Competitive benefits package.
• Hybrid working model with flexibility.
• Opportunity to influence a growing data function and have a visible impact on business outcomes.
• Exposure to modern data tooling and best practices.
• Clear scope for professional development and career progression within a high-performing team.

How to Apply

If you’re an Analytics Engineer with strong dbt and SQL data modelling experience and are looking to make a tangible impact within a growing data team, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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Senior AI Engineer

Rotterdam | €140,000 base salary | 5 days per week in office

This is an opportunity to play a pivotal role in a company-wide AI transformation rather than joining an existing AI function. As a Senior AI Engineer, you will help redesign core systems with AI at the centre, building production-ready solutions that directly influence revenue, customer experience, and operational performance.

The Company

They are a high-growth digital commerce business operating internationally, serving B2B customers through a technology-led platform. Founded by entrepreneurs who remain closely involved in the business, they combine the pace and ambition of a scale-up with a strong commercial focus.

With an international team and a collaborative, high-energy culture, they are investing heavily in AI as a strategic priority. Innovation is embedded throughout the organisation, and leadership actively shares insights and learnings within the wider technology and AI community.

The Role

As Senior AI Engineer, you will help shape the next generation of the company’s platform by embedding AI into the core infrastructure and customer experience.

Key responsibilities include:

Designing and building AI-first systems that support the organisation’s long-term transformation strategy.
Developing and deploying production-ready agentic AI solutions across multiple business functions.
Building intelligent content and automation agents capable of generating content, pricing recommendations, and personalised customer journeys.
Working with modern LLM frameworks, AI infrastructure, and orchestration tools to create scalable solutions.
Partnering closely with leadership and engineering teams to identify opportunities where AI can drive measurable commercial impact.
Taking ownership of AI initiatives from concept through to deployment and adoption.
Contributing to technical direction and helping raise the standard of AI engineering across the organisation.

Your Skills & Experience

Strong experience building and deploying AI products into production environments.
Deep understanding of LLMs, agentic AI systems, and modern AI infrastructure.
Background in software engineering with a proven transition into AI-focused development.
Experience within startup, scale-up, eCommerce, marketplace, or digital platform environments.
Ability to connect technical innovation with commercial outcomes and business growth.
Track record of delivering measurable impact, with clear examples of results and outcomes.
Experience influencing technical direction, mentoring others, or leading projects.
Proactive mindset with a continuous focus on optimisation, innovation, and business value.

What They Offer

€140,000 base salary
Opportunity to lead high-profile AI transformation initiatives.
Direct exposure to founders, executive leadership, and strategic decision-making.
Highly collaborative engineering environment with an established development team.
Significant scope for progression as AI becomes a core business capability.
International, entrepreneurial culture with ambitious growth plans.

How to Apply

If you are an experienced AI Engineer who enjoys building production-grade AI solutions and wants to shape the future of a technology-driven business, please apply today.

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Generative AI Consultant

Utrecht, Netherlands | Up to €70,000

Looking to build a career at the forefront of Generative AI? This is an opportunity to join a specialist AI consultancy that is fully dedicated to helping organisations modernise their operations through AI transformation. You will work on real-world Generative AI challenges, combining strategic advisory work with hands-on implementation across a variety of client environments.

The Company

They are a specialist AI consultancy focused on helping businesses navigate and deliver AI-driven transformation. Their work spans strategic advisory, technical implementation, and the deployment of advanced AI solutions. Working closely with clients, they guide organisations through the adoption of Generative AI and large language models to create measurable business impact. The team values curiosity, innovation, and an entrepreneurial mindset.

The Role

Advise clients on AI and digital transformation strategies.
Design and implement Generative AI solutions that address real business challenges.
Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based AI systems.
Support end-to-end delivery, from discovery and solution design through to implementation.
Collaborate directly with client stakeholders and technical teams.
Evaluate and recommend AI tools, platforms, and software solutions.
Translate technical concepts into practical business outcomes.
Travel to client sites across the Netherlands during the working week when required.

Your Skills & Experience

Fluent Dutch language skills.
Degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
Strong commercial experience working with Generative AI solutions.
Hands-on experience with LLMs and modern AI platforms such as ChatGPT, Claude, or similar technologies.
Experience building or deploying RAG architectures and agentic AI solutions.
Programming experience with Python and ideally R.
Strong consulting, stakeholder management, and communication skills.
An entrepreneurial mindset with a genuine interest in AI innovation and business transformation.

What They Offer

Salary up to €70,000.
Exposure to a broad range of AI transformation projects.
Opportunity to work in a consultancy that is fully focused on Generative AI.
Direct impact on client innovation and modernisation initiatives.
Strong opportunities for professional development and career growth.
Hybrid working model with a mix of client-facing and office-based collaboration in Utrecht.

How to Apply

If you are passionate about Generative AI and want to help organisations successfully adopt and scale AI solutions, apply today to learn more about this opportunity.

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AI Engineer

Amsterdam, Netherlands | Up to €78,000 + Benefits

This is an opportunity to join a well-established international organisation investing heavily in AI and machine learning. You’ll play a key role in building production-grade AI products that deliver real business impact, working on solutions that move from concept through to deployment and ongoing optimisation.

The Company

They are a large, global organisation with a strong focus on technology, digital transformation, and data-driven decision-making. With significant investment in AI, they are building scalable products that support both customer-facing and internal business use cases. The environment combines the stability and resources of a mature enterprise with the pace and innovation of a modern product team.

The Role

Design, build, and deploy AI and machine learning products into production
Develop scalable backend services and APIs using Python
Build AI applications leveraging LLMs, agent frameworks, and traditional machine learning techniques
Work closely with data, engineering, and business teams to translate requirements into production-ready solutions
Implement testing, monitoring, and evaluation frameworks to ensure reliability and performance
Support deployment, CI/CD, and operational best practices across the AI product lifecycle

Your Skills & Experience

Minimum 3 years of commercial experience in AI Engineering, Machine Learning Engineering, or a similar role
Strong experience building and deploying AI products into production environments
Hands-on experience with both traditional machine learning and modern AI/LLM technologies
Strong Python engineering skills and experience developing APIs and backend services
Experience working within larger, enterprise-scale organisations and navigating complex stakeholder environments
Exposure to cloud platforms, containerisation, and modern software engineering practices

What They Offer

Salary up to €78,000
Strong bonus and benefits package
Opportunity to work on high-impact AI products used at scale
Career progression within a growing Data & AI function
Collaborative, international team environment

How to Apply

If you’re an AI Engineer with experience delivering production-ready AI and machine learning solutions within larger organisations, apply today to learn more about this opportunity.

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