NETHERLANDS DATA & AI RECRUITMENT OVERVIEW
Harnham data recruitment in the Netherlands is one of our fastest-growing markets due to the high demand for data-driven employees in the country. Companies are increasingly turning to Harnham to look for data professionals with the skills and expertise needed to help them make informed decisions.
Harnham is a leading Dutch Data and AI Recruitment firm that helps companies find the best Data and AI professionals. They specialize in finding those with the right skills and experience to fit their client’s needs. We also provide support to help clients with their Data and AI Recruitment process, from finding the right AI candidate to onboarding them.
Our dedicated Amsterdam-based Data and AI consultants have immersed themselves in the Dutch market and are able to provide industry-leading advice.
Companies in the Netherlands rely on Harnham to find the right data professionals because they have a thorough understanding of the data industry in the Netherlands, as well as an extensive network of data professionals.
Additionally, the Harnham recruitment process is fast, efficient, and cost-effective, meaning companies can find the right employees quickly and without spending too much money..
DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & AI professionals we place, Harnham use tried and tested models in our recruitment processes.
By gaining valuable market knowledge across a range of industries and regions, Harnham is able to provide a service which is second to none within our marketplace.
We have seen unprecedented growth in our specialist sector and always have a wide range of vacancies at both junior and senior level including AI jobs, Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, France, United States, and the Netherlands.
WHAT SETS OUR NETHERLANDS DATA & AI RECRUITMENT TEAM APART?
Harnham is the best data recruitment company in the Netherlands because we have an extensive network of data professionals and employers, a team of experienced recruiters, and access to the latest data job opportunities.
Harnham also provides a range of services, such as career advice, market updates, and a dedicated team of data recruitment specialists. Additionally, Harnham has a proven track record of success, having placed thousands of data professionals in data-related roles.
This makes us the number one choice for employers and data professionals looking to find the best job opportunities in the Netherlands.
Our new Netherlands office will be opening in Amsterdam in April 2023, headed up by experienced Director Ross Henderson.
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JOBS
LATEST DATA & AI
JOBS IN THE NETHERLANDS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.
Data Governance Consultant
Amsterdam
€70000 - €80000
+ Data Management & Governance
PermanentNetherlands
To Apply for this Job Click Here
Senior Data Governance Analyst
Amsterdam, The Netherlands
Salary up to 80k
THE COMPANY
This international organisation are looking for a Senior Data Governance Analyst to work within their growing Data team. Since their establishment they have won multiple awards and are now looking to grow their data function. This is a really exciting opportunity to be part of a greenfield working environment and work across a variety of projects.
THE ROLE
In this you will be instrumental in developing and implementing a comprehensive data governance framework. You will collaborate with cross-functional teams to define data policies, standards, and procedures, ensuring adherence to regulatory requirements and industry best practices. This is an exciting opportunity for a seasoned data governance professional who is passionate about shaping the data landscape of a forward-looking organization.
Responsibilities:
- Develop and implement a robust data governance framework, including policies, standards, and procedures.
- Collaborate with stakeholders to define and document data quality standards and metrics.
- Establish and enforce data governance best practices to ensure data integrity, security, and compliance.
- Lead efforts to classify and categorize data assets, and implement access controls based on sensitivity.
- Oversee data stewardship programs, ensuring accountability for data quality and ownership.
- Collaborate with IT and business units to implement and monitor data governance initiatives.
- Stay current on industry trends, regulations, and emerging technologies related to data governance.
Qualifications:
- Bachelor’s or Master’s degree in Information Management, Data Science, or a related field.
- Proven experience in data governance, data management, or a related role.
- In-depth understanding of data governance principles, practices, and industry standards.
- Familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards.
- Strong communication and interpersonal skills, with the ability to influence and drive change.
- Experience in implementing data governance tools and technologies is a plus.
Benefits:
- Fantastic benefits on offer

To Apply for this Job Click Here
ML Ops Engineer
Amsterdam
€60000 - €65000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Opportunity: MLOps Engineer (Full-Lifecycle) | Early-Stage Startup
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Start Date: ASAP
About the Company
The company is a small, fast-moving startup building [short description of product/mission]. With a lean, collaborative team focused on delivering real value through AI, they are seeking an experienced MLOps Engineer to own and optimize their end-to-end machine learning pipeline as they scale.
The Role
As the company’s first dedicated MLOps hire, the successful candidate will be responsible for establishing and maintaining the full MLOps lifecycle-from data ingestion and experimentation to deployment, monitoring, and continuous optimization. They will work closely with ML engineers and the product team to ensure models move into production smoothly, reliably, and efficiently.
Responsibilities
- Designing, building, and maintaining scalable ML pipelines (training, validation, deployment).
- Developing CI/CD workflows for ML models and data pipelines.
- Implementing model and data versioning, lineage tracking, and reproducibility best practices.
- Managing infrastructure for training and inference (cloud, containers, orchestration).
- Building monitoring systems for data drift, model performance, and operational reliability.
- Optimizing cost, performance, and automation across the ML lifecycle.
- Collaborating with ML engineers to transition prototypes into production-ready systems.
- Promoting engineering excellence, documentation, and observability.
Qualifications
- 3+ years of industry experience in MLOps, ML Engineering, or DevOps for ML systems.
- Proven experience managing the full ML lifecycle in production environments.
- Strong experience with cloud platforms (AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
- Hands-on expertise with containerization and orchestration (Docker, Kubernetes).
- Familiarity with ML pipeline tools (Kubeflow, Airflow, MLflow, Vertex AI, SageMaker, etc.).
- Strong programming skills in Python and experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).
- Understanding of monitoring, tracing, alerting, and model observability tools.
- A startup mindset: autonomous, resourceful, and comfortable building systems from scratch.
What the Company Offers
- High ownership and the opportunity to shape the ML infrastructure from the ground up.
- A collaborative team culture that values creativity, speed, and experimentation.
- Competitive salary + equity package.
- Flexible work environment.
- A chance to have significant impact on a product used by real customers.

To Apply for this Job Click Here
Machine Learning Engineer
€80000 - €81000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Machine Learning Engineer (Mid-Level) – Remote
Gaming Start-Up | Full-Time | Anywhere
Are you excited by the intersection of AI and gaming? Do you want to help shape the future of interactive entertainment at a fast-moving start-up? We’re looking for a Mid-Level Machine Learning Engineer to join our fully remote team and help us build intelligent, player-centric systems that power the next generation of gaming experiences.
About Them
They are an ambitious gaming start-up building innovative, data-driven gameplay systems. Our mission is to create games that feel alive-powered by adaptive AI, real-time insights, and scalable cloud technologies. As a small and collaborative team, every voice matters and every engineer has a direct impact on the product.
What You’ll Do
As a Machine Learning Engineer, you will:
- Design, build, and deploy ML models for gameplay, personalization, prediction, and player behavior analysis
- Collaborate with game designers, backend engineers, and data teams to integrate ML into live game systems
- Develop scalable ML pipelines using Google Cloud Platform (GCP) services (Vertex AI, BigQuery, Cloud Run, etc.)
- Work with real-time and batch data to support analytics and in-game decision systems
- Maintain and improve MLOps workflows for training, evaluation, deployment, and monitoring
- Contribute to a culture of experimentation, rapid iteration, and creative problem-solving
️ What They’re Looking For
Required:
- 2-4+ years of experience in Machine Learning or Data Science engineering roles
- Strong programming skills in Python
- Hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Storage, etc.)
- Experience building and deploying ML models in production
- Familiarity with modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of data processing, pipelines, and MLOps best practices
- Ability to work independently in a remote environment and collaborate asynchronously
Nice to Have:
- Experience working in gaming or interactive media
- Knowledge of reinforcement learning, player modeling, or recommendation systems
- Experience with real-time systems or streaming data (e.g., Pub/Sub, Kafka)
- Passion for games and gameplay design#
Why You’ll Love Working With them
- Fully remote team – work from anywhere
- A chance to be an early team member in a rapidly growing gaming start-up
- High ownership, high impact, and opportunities to shape the direction of ML in our products
- Flexible hours, supportive culture, and a team that values creativity and innovation
- Competitive salary + equity package

To Apply for this Job Click Here
Senior Data Scientist – Working with Behavioural Data and AI
Amsterdam
€60000 - €100000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Senior Data Scientist – End-to-End Machine Learning & Behavioural Data
This organisation are seeking an experienced Senior Data Scientist to join their dynamic team. This role focuses on end-to-end productionising of machine learning models and leveraging behavioural data to drive actionable insights and innovative solutions.
The ideal candidate has a strong background in applied machine learning, including hands-on experience with Natural Language Processing (NLP), and is comfortable taking projects from concept through to production. They thrive in a collaborative environment, translating complex data into meaningful business outcomes and working closely with cross-functional teams to implement scalable solutions.
Key Responsibilities:
- Develop, deploy, and maintain end-to-end machine learning models, ensuring robust production performance.
- Analyse and derive insights from behavioural data to inform business decisions.
- Apply NLP techniques to extract value from text-based datasets.
- Collaborate with engineering and product teams to integrate models into live systems.
- Continuously monitor, evaluate, and optimise models to maintain accuracy, efficiency, and scalability.
Qualifications & Experience:
- Proven experience in end-to-end machine learning development and model deployment.
- Strong background in behavioural data analysis.
- Hands-on experience with NLP, including text preprocessing, embeddings, and relevant model architectures.
- Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with cloud-based ML infrastructure and MLOps best practices.
- Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.

To Apply for this Job Click Here
Front End Engineer – AI Focus
Amsterdam
€60000 - €61000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Senior Full Stack / Front-End Engineer (TypeScript, AI Agents)
Location: Remote / Hybrid
Type: Full-time
Level: Senior
The Role
The company is seeking a Senior Full Stack / Front-End Engineer to help build intelligent, AI-powered products. The engineer will focus on delivering high-quality user interfaces while working across the stack to integrate AI agents and LLM-driven systems. This role suits someone who values frontend craftsmanship, system thinking, and product ownership.
Responsibilities
- Design, build, and maintain scalable front-end applications using TypeScript
- Develop full-stack features that integrate AI agents, LLM APIs, and external services
- Collaborate closely with product, design, and AI teams to translate complex AI behaviour into intuitive user experiences
- Implement robust application architecture, state management, and data flows
- Ensure performance, accessibility, and maintainability across the codebase
- Participate in technical decision-making and contribute to engineering best practices
- Mentor and support other engineers as the team grows
Requirements
- 5+ years of experience as a Full Stack or Front-End Engineer
- Strong proficiency in TypeScript and modern JavaScript
- Extensive experience with frameworks such as React, Next.js, or similar
- Backend experience using Node.js, Python, or equivalent
- Experience integrating REST and/or GraphQL APIs
- Strong understanding of frontend architecture, performance, and UX principles
- Ability to work effectively in fast-paced, ambiguous environments
Desirable Experience
- Hands-on experience with AI agents, LLMs, or prompt-based systems
- Familiarity with streaming responses, tool calling, or multi-step agent workflows
- Experience working with real-time or event-driven systems
- Exposure to design systems, accessibility standards, or data-heavy interfaces
- Previous experience in startup or high-ownership teams
What the Company Offers
- The opportunity to work on products at the forefront of AI and user experience
- High-impact role with ownership over core features and technical direction
- Collaborative, low-ego engineering culture
- Competitive salary and equity package
- Flexible working arrangements

To Apply for this Job Click Here
Data Governance Analyst
€70000 - €80000
+ Data Management & Governance
PermanentNetherlands
To Apply for this Job Click Here
Data Governance Analyst
Amsterdam, The Netherlands
Salary up to 80k
THE COMPANY
This international organisation are looking for a Senior Data Governance Analyst to work within their growing Data team. Since their establishment they have won multiple awards and are now looking to grow their data function. This is a really exciting opportunity to be part of a greenfield working environment and work across a variety of projects.
THE ROLE
In this you will be instrumental in developing and implementing a comprehensive data governance framework. You will collaborate with cross-functional teams to define data policies, standards, and procedures, ensuring adherence to regulatory requirements and industry best practices. This is an exciting opportunity for a seasoned data governance professional who is passionate about shaping the data landscape of a forward-looking organization.
Responsibilities:
- Develop and implement a robust data governance framework, including policies, standards, and procedures.
- Collaborate with stakeholders to define and document data quality standards and metrics.
- Establish and enforce data governance best practices to ensure data integrity, security, and compliance.
- Lead efforts to classify and categorize data assets, and implement access controls based on sensitivity.
- Oversee data stewardship programs, ensuring accountability for data quality and ownership.
- Collaborate with IT and business units to implement and monitor data governance initiatives.
- Stay current on industry trends, regulations, and emerging technologies related to data governance.
Qualifications:
- Bachelor’s or Master’s degree in Information Management, Data Science, or a related field.
- Proven experience in data governance, data management, or a related role.
- In-depth understanding of data governance principles, practices, and industry standards.
- Familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards.
- Strong communication and interpersonal skills, with the ability to influence and drive change.
- Experience in implementing data governance tools and technologies is a plus.
Benefits:
- Fantastic benefits on offer

To Apply for this Job Click Here
Principal AI/Software Engineer
€80000 - €100000
+ Advanced Analytics & Marketing Insights
PermanentNetherlands
To Apply for this Job Click Here
Job Opportunity: Principal AI Engineer | Remote or Hybrid
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Seniority: Principal / Expert
Start Date: ASAP
About the Company
The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.
This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.
The Role
The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.
The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.
Key Responsibilities
- Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
- Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
- Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
- Set best practices for ML engineering, model lifecycle management, security, and governance.
- Provide expert guidance on architecture decisions across data, ML, and application layers.
- Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
- Mentor and support engineering teams, elevating technical capabilities across the organization.
- Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.
Required Experience
- 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
- Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
- Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
- Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
- Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
- Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
- Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
- Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.
What the Company Offers
- A strategic role with significant influence over the AI roadmap and technical foundations.
- Competitive salary, equity, and comprehensive benefits.
- Flexible remote or hybrid working environment.
- Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
- A culture that values innovation, autonomy, and continuous learning.

To Apply for this Job Click Here
QA Engineer – AI projects
Eindhoven
€60000 - €70000
+ Data Science & AI
PermanentEindhoven, North Brabant
To Apply for this Job Click Here
QA Engineer (AI & Machine Learning) – Healthcare Startup
Location: Eindhoven
Employment Type: Full-time
Salary: Competitive + Equity Options
About Us
We’re a fast-growing healthcare startup on a mission to transform how clinical decisions are made through the power of artificial intelligence. The AI-driven platform helps clinicians deliver faster, more accurate diagnoses – improving patient outcomes and saving lives.
They are now looking for a QA Engineer with a deep interest in AI systems and machine learning validation to join our passionate, cross-functional team.
The Role
As our QA Engineer, you’ll take ownership of the testing strategy and quality assurance process for our AI products – from data pipelines to model outputs and end-user interfaces. You’ll work closely with data scientists, ML engineers, and clinicians to ensure our algorithms are safe, robust, and trustworthy.
What you’ll do:
- Design and implement automated and manual test frameworks for AI and ML components.
- Develop evaluation protocols to assess model accuracy, fairness, and performance.
- Validate data quality, preprocessing pipelines, and integration points with clinical systems.
- Collaborate with regulatory and compliance teams to ensure testing meets healthcare and AI safety standards (e.g. MHRA, ISO 13485, GxP).
- Build monitoring tools for post-deployment AI behaviour and model drift.
- Champion a culture of “quality-first” within the product and engineering teams.
About You
You’re a detail-oriented QA professional who thrives on solving complex problems and believes in the power of AI to make healthcare better – but only if it’s built and tested responsibly.
You’ll bring:
- 3+ years’ experience in software QA, with at least 1 year focused on AI, ML, or data-driven systems.
- Solid understanding of Python, CI/CD pipelines, and test automation frameworks (e.g. PyTest, Robot Framework, or Cypress).
- Experience testing data pipelines, APIs, and model inference endpoints.
- Familiarity with AI metrics (precision, recall, ROC AUC, etc.) and validation methodologies.
- Strong communication skills and the ability to collaborate with data scientists and clinicians alike.
- Bonus: knowledge of healthcare data standards (FHIR, HL7) or regulatory frameworks for AI in medical devices.
Why Join Us
- Be part of a mission-driven startup tackling one of healthcare’s biggest challenges.
- Work on cutting-edge AI systems that directly impact patient care.
- Flat hierarchy, open culture, and plenty of room to innovate.
- Continuous learning opportunities – from ML explainability to regulatory AI testing.
- Flexible hybrid/remote working setup.

To Apply for this Job Click Here
Principal AI Engineer
€60000 - €100000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
Job Opportunity: Principal AI Engineer | Remote or Hybrid
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Seniority: Principal / Expert
Start Date: ASAP
About the Company
The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.
This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.
The Role
The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.
The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.
Key Responsibilities
- Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
- Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
- Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
- Set best practices for ML engineering, model lifecycle management, security, and governance.
- Provide expert guidance on architecture decisions across data, ML, and application layers.
- Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
- Mentor and support engineering teams, elevating technical capabilities across the organization.
- Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.
Required Experience
- 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
- Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
- Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
- Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
- Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
- Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
- Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
- Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.
What the Company Offers
- A strategic role with significant influence over the AI roadmap and technical foundations.
- Competitive salary, equity, and comprehensive benefits.
- Flexible remote or hybrid working environment.
- Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
- A culture that values innovation, autonomy, and continuous learning.

To Apply for this Job Click Here
Lead AI Engineeer
€100000 - €101000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
Job Opportunity: Lead AI Engineer | Remote | New AI Team
Location: Fully Remote
Role Type: Full-Time
Seniority: Lead / Senior
Start Date: ASAP
About the Company
The company is building a brand-new AI function to power the next generation of intelligent products and automation capabilities. With a focus on generative AI, large language models, and cutting-edge applied research, they are searching for a seasoned Lead AI Engineer to help architect, develop, and scale core AI capabilities across the business.
This is an opportunity to join at the ground floor, shape the technical direction of the AI stack, and work with a highly collaborative team committed to innovation.
The Role
The Lead AI Engineer will take ownership of designing, building, and deploying advanced AI systems with a strong focus on generative AI and LLM-based applications. This role combines hands-on technical work with leadership responsibilities, including guiding engineering practices, influencing product strategy, and mentoring team members as the AI team grows.
Key Responsibilities
- Architect, build, and deploy generative AI solutions, including LLM-powered applications and retrieval-augmented systems.
- Lead the technical direction of AI projects, ensuring scalability, performance, and reliability.
- Develop high-quality, production-ready Python code and machine learning pipelines.
- Evaluate, fine-tune, and integrate large language models (open-source and API-based).
- Collaborate with cross-functional teams to define AI use cases and translate them into robust engineering solutions.
- Implement best practices for model lifecycle management, observability, and continuous improvement.
- Mentor junior engineers and contribute to shaping a world-class AI engineering culture.
- Stay up to date with research, tooling, and emerging capabilities in the GenAI ecosystem.
Required Experience
- 5+ years of professional experience in AI/ML engineering, with a strong background in Python (senior-level proficiency required).
- Hands-on experience fine-tuning, adapting, and deploying large language models (e.g., Llama, GPT-based models, Mistral, etc.).
- Strong understanding of generative AI architectures, prompt engineering, and vector search/RAG systems.
- Experience building production-grade AI applications and data pipelines.
- Proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and model-serving frameworks (FastAPI, Triton, Ray, etc.).
- Solid knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- A proven ability to lead technical projects and mentor other engineers.
- Comfort working in a startup or greenfield environment where autonomy and initiative are key.
What the Company Offers
- Fully remote role with flexible working arrangements.
- High ownership in shaping AI strategy, tooling, and technical foundations.
- Competitive salary + equity/benefits package.
- Opportunity to work with cutting-edge GenAI techniques and contribute to innovative products.
- A collaborative environment that values experimentation and engineering excellence.

To Apply for this Job Click Here
Contract role – Junior analyst – Dutch speaking
Amsterdam
€24000 - €25000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Graduate Data & Business Support – 6-Week Contract
Global Agency | Amsterdam
Salary: 2,800 monthly
Are you a recent graduate looking to kick-start your career within a fast-paced, international environment? This global agency, based in the heart of Amsterdam, is seeking an enthusiastic
Graduate Data & Business Support Assistant to join the team on a 6-week contract.
In this role, you will support our business operations and client-facing teams by working across data analysis, reporting, and administrative tasks. You’ll work closely with senior team members to ensure information is well-organised, accurate, and clearly presented. This is an excellent short-term opportunity to gain hands-on experience within a respected global organisation while developing valuable professional skills.
What you’ll be doing
- Assisting with data collection, organisation, and basic analysis
- Creating and maintaining spreadsheets in Excel, including data entry, formatting, and simple reporting
- Preparing documents, briefs, and internal materials using Word
- Supporting teams with general administrative duties to keep projects running smoothly
- Helping ensure data accuracy and consistency across multiple sources
- Collaborating with colleagues across departments in a dynamic, multicultural environment
What we’re looking for
- A recent graduate or early-career professional eager to learn
- Strong working knowledge of Microsoft Excel and Word
- Excellent attention to detail and organisational skills
- Ability to manage multiple tasks and meet deadlines
- A proactive mindset with strong communication abilities
- Fluent in English (additional languages are a bonus)
What we offer
- A 6-week contract within a globally recognised agency
- Hybrid working possibilities (depending on team schedules)
- A collaborative and supportive team environment
- The chance to gain experience in an international office in Amsterdam
- Exposure to real projects and the opportunity to build your professional portfolio
If you are organised, analytical, and ready to step into a global business environment, we’d love to hear from you. Apply now and take the next step in your career with us!

To Apply for this Job Click Here
Senior Data Governance Analyst
€70000 - €80000
+ Data Management & Governance
PermanentNederland
To Apply for this Job Click Here
Senior Data Governance Analyst
Amsterdam, The Netherlands
Salary up to 80k
THE COMPANY
This international organisation are looking for a Senior Data Governance Analyst to work within their growing Data team. Since their establishment they have won multiple awards and are now looking to grow their data function. This is a really exciting opportunity to be part of a greenfield working environment and work across a variety of projects.
THE ROLE
In this you will be instrumental in developing and implementing a comprehensive data governance framework. You will collaborate with cross-functional teams to define data policies, standards, and procedures, ensuring adherence to regulatory requirements and industry best practices. This is an exciting opportunity for a seasoned data governance professional who is passionate about shaping the data landscape of a forward-looking organization.
Responsibilities:
- Develop and implement a robust data governance framework, including policies, standards, and procedures.
- Collaborate with stakeholders to define and document data quality standards and metrics.
- Establish and enforce data governance best practices to ensure data integrity, security, and compliance.
- Lead efforts to classify and categorize data assets, and implement access controls based on sensitivity.
- Oversee data stewardship programs, ensuring accountability for data quality and ownership.
- Collaborate with IT and business units to implement and monitor data governance initiatives.
- Stay current on industry trends, regulations, and emerging technologies related to data governance.
Qualifications:
- Bachelor’s or Master’s degree in Information Management, Data Science, or a related field.
- Proven experience in data governance, data management, or a related role.
- In-depth understanding of data governance principles, practices, and industry standards.
- Familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards.
- Strong communication and interpersonal skills, with the ability to influence and drive change.
- Experience in implementing data governance tools and technologies is a plus.
Benefits:
- Fantastic benefits on offer

To Apply for this Job Click Here
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