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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

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AI and ML Lead

Amsterdam, The Netherlands

Salary: Up to 140k total package

Extensive benefits on offer

This is a high impact leadership role for someone who wants to shape the AI and ML direction of a growing business. You will have the opportunity to modernise existing machine learning approaches, influence product strategy, and lead a team through the next phase of its evolution.

This is a very exciting opportunity for the right individual who wants to work in a fast paced environment where you will be able to access huge amounts a data and shape how you can influence future business performance by choosing the right algorithms and use cases.

The Company

They are a fast moving organisation of around 250 people with a flat structure and high visibility across the business. Despite their size, they have significant reach and the ability to move quickly on new ideas. Data and AI sit close to product and leadership, giving this role genuine influence and ownership.

The Role

• You will lead the AI and ML strategy, with responsibility for both technical direction and people leadership.
• You will modernise legacy machine learning systems, particularly in areas such as recommendations, search and behavioural modelling.
• You will work closely with Product to shape the roadmap, challenge build versus buy decisions, and prioritise work based on impact.
• You will manage and develop a team of data scientists and remain as hands on as you choose.
• Manage a team of 7 data scientists
• In this role you will also have a big influence in which use cases should be prioritised

Your Skills and Experience

• Strong commercial experience delivering ML and AI models into production environments.
• Background in recommendation systems, search, fraud or similar marketplace style problems.
• Ability to set technical direction and influence stakeholders, not just execute.
• Experience leading or mentoring data scientists and elevating team capability
• Production ML experience in Python, ideally using Databricks.

What They Offer

• A base salary of €80,000 to €140,000 total package
• Flexible working with an office first culture and the option to work abroad for up to one month.
• Visa sponsorship and openness to relocation.
• A rare chance to shape ML strategy, team design and product impact in a high reach organisation.

How to Apply

Apply now to learn more about this AI and ML Lead opportunity and the impact you could have.

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Customer Success Manager

Amsterdam, Netherlands. Competitive salary plus benefits.

This role stands out for its blend of customer impact, data driven technology and real ownership. You will sit at the heart of client relationships, helping retail teams turn complex data into practical, value creating decisions while shaping how innovative SaaS solutions are adopted and scaled.

The Company

They are a fast growing technology organisation operating in the retail analytics and SaaS space. Their platforms support data driven decision making across areas such as pricing, promotions, assortment and customer loyalty. With an international, collaborative setup, they combine strong product development with a clear focus on long term customer success.

The Role

• Lead and support the implementation of data driven SaaS solutions for retail clients.
• Act as the main point of contact for customers, balancing advisory partnership with hands on support.
• Configure platforms, dashboards and workflows to align with client processes and goals.
• Deliver workshops and training sessions to ensure strong user adoption and value realisation.
• Analyse customer usage and feedback to optimise solutions and identify growth opportunities.
• Work closely with product, analytics and delivery teams to continuously improve the offering.

Your Skills and Experience

• Strong commercial experience in customer success, account management or a similar client facing role within software or technology.
• Solid understanding of data driven decision making and the ability to translate insights into practical actions.
• Exposure to retail processes such as pricing, promotions or commercial planning is highly valuable.
• Confident communicator in both Dutch and English, comfortable engaging with a range of stakeholders.
• Structured, proactive and analytical, with the ability to manage multiple client engagements effectively.

What They Offer

• A competitive salary aligned with experience.
• Extensive training and development opportunities with a clear path for professional growth.
• A collaborative, supportive team culture with a strong focus on knowledge sharing.
• Generous holiday allowance, pension contribution, and the tools you need to do your job well.

How to Apply

If you are looking for a Customer Success Manager role in Amsterdam where you can make a tangible impact with data driven technology, apply now to find out more.

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Senior Data Engineer

Amsterdam | Up to €90,000 including holiday allowance
This is an excellent opportunity for a Senior Data Engineer to play a key role in shaping a modern data environment within a growing, data-driven business. You will have the chance to influence data architecture, improve data accessibility, and build solutions that support business-wide decision-making.

The Company
They are a well-established organisation investing heavily in data and analytics to support their long-term growth. With a collaborative culture and strong focus on innovation, they are building scalable data platforms and applications that enable teams across the business to make better use of data. This role sits within a specialist data function where technical expertise and continuous improvement are highly valued.

The Role
As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining data platforms, pipelines, and applications that support the wider business.

Responsibilities include:

• Building and maintaining ETL processes and data pipelines
• Designing and managing data storage and analytics environments
• Developing and improving data models to enhance data quality and accessibility
• Integrating new data sources and optimising existing data workflows
• Building and maintaining business-facing applications and tools
• Monitoring data systems, platform performance, and data availability
• Collaborating with central IT teams on technical initiatives
• Providing technical guidance and training to colleagues within the data team
• Supporting best practices in data engineering, governance, and platform management

Your Skills & Experience

• Strong commercial experience in Data Engineering
• Expertise with Azure, Databricks, DBT, Power BI, and Unity Catalog
• Strong SQL and Python skills
• Experience building and maintaining ETL pipelines
• Solid understanding of data modelling principles
• Knowledge of database architecture and data platform design
• Experience working with cloud-based data environments
• Ability to communicate technical concepts to both technical and non-technical stakeholders
• Experience mentoring or supporting more junior team members

What They Offer

• Salary up to €90,000 including holiday allowance
• Opportunity to work with a modern cloud-based data stack
• Exposure to large-scale data transformation initiatives
• Collaborative and supportive team environment
• Ongoing professional development and learning opportunities
• Clear scope to influence technical decisions and drive best practice

How to Apply
If you are an experienced Senior Data Engineer looking to make a real impact in a growing data function, apply today to discuss the opportunity in more detail.

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AI/ML Engineer

Amsterdam (3 days per week in office) | €75,000 including holiday allowance
This is an opportunity to join a forward-thinking organisation investing heavily in AI and machine learning to deliver real business impact. You’ll play a key role in taking AI solutions from concept through to production, working on cutting-edge technologies and helping shape the future of AI-enabled products.

The Company
They are a well-established organisation with a strong focus on digital innovation and technology-driven transformation. AI and data are central to their strategy, with a growing portfolio of customer-facing and internal AI solutions. The business offers a collaborative environment where engineers can work closely with product, data, and technology teams to deliver measurable value. They are committed to building scalable, secure, and production-ready AI capabilities across the organisation.

The Role
You will:

• Design, build, and scale AI-powered solutions that deliver measurable business value.
• Develop and maintain Python-based backend services and APIs for AI-enabled products.
• Build and optimise AI assistant workflows using modern orchestration frameworks and LLM technologies.
• Translate business requirements into production-ready AI services and applications.
• Collaborate with data teams to access, transform, and leverage enterprise data effectively.
• Integrate AI capabilities into broader digital products and business workflows.
• Create reusable tools, services, and engineering patterns to accelerate future AI initiatives.
• Implement automated testing and quality assurance practices for AI solutions.
• Contribute to CI/CD processes, containerised deployments, and operational readiness.
• Ensure security, privacy, and responsible AI standards are embedded throughout the development lifecycle.

Your Skills & Experience

• Strong commercial experience developing production-grade applications in Python.
• Experience building APIs, backend services, and scalable software solutions.
• Hands-on experience with LLMs, AI assistants, and agent-based workflows.
• Knowledge of tools such as FastAPI, Pydantic, LangChain, LangGraph, and OpenAI APIs.
• Experience working with SQL, data pipelines, and modern data platforms.
• Understanding of automated testing frameworks and AI evaluation approaches.
• Familiarity with Docker, CI/CD pipelines, cloud environments, and DevOps practices.
• Strong stakeholder communication skills and the ability to work across multidisciplinary teams.
• Passion for building reliable, maintainable, and impactful AI products.

What They Offer

• Salary of €75,000 including holiday allowance.
• Hybrid working model with 3 days per week in the Amsterdam office.
• Opportunity to work on high-impact AI and machine learning initiatives.
• Exposure to modern AI tooling, cloud technologies, and large-scale products.
• A collaborative environment with strong opportunities for learning and career progression.
• The chance to influence the direction of AI engineering within a growing capability.

How to Apply
If you’re an AI/ML Engineer looking to build production-ready AI products and work on impactful machine learning solutions, apply today to find out more.

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Machine Learning Engineering Manager

Location: Fully Remote – based anywhere in the U.S.

Compensation: $220-240k base, depending on location

A leading AI-driven technology company is seeking a Machine Learning Engineering Manager to lead a team developing and scaling production machine learning solutions that directly impact core business outcomes.

This is a player-coach leadership role suited to someone who combines strong technical depth with proven people management experience. You’ll lead a team of 4-7 ML engineers and scientists, drive experimentation strategy, and help translate research into production results.

What You’ll Do

• Manage, mentor, and grow a team of 4-7 machine learning professionals.
• Lead performance management, career development, hiring, and team culture initiatives.
• Oversee a portfolio of ML experiments, balancing short-term business objectives with longer-term research opportunities.
• Partner with technical leads and cross-functional stakeholders to prioritize initiatives and validate results.
• Drive end-to-end delivery of machine learning solutions from experimentation through production deployment.
• Communicate outcomes, insights, and priorities to technical and business audiences.

Required Qualifications

• 5+ years of experience in Machine Learning, Applied Science, or a related quantitative discipline.
• 2-3+ years of people management experience leading technical teams.
• Strong background in machine learning, statistics, and experimentation.
• Experience owning measurable KPIs, performance targets, or business outcomes.
• Excellent communication and stakeholder management skills.
• Hands-on technical leader who remains close to the work and enjoys coaching teams.

Preferred Qualifications

• PhD or Master’s in Computer Science, Statistics, Machine Learning, Mathematics, or a related field.
• Experience in fraud, risk, payments, fintech, or decision science environments.
• Exposure to large-scale production ML systems.

Tech Stack

Python, SQL, Spark, large-scale data platforms, experimentation frameworks, and production ML pipelines.

Benefits

• Annual performance bonus.
• Equity package.
• Unlimited PTO.
• 401(k) match.
• Comprehensive medical, dental, and vision coverage.
• Paid parental leave.
• Professional development budget.

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SENIOR DATA ENGINEER

Remote, US Based (California Excluded)

The Opportunity

Join a fast growing, physician led healthcare services company that brings primary care, behavioral health, geriatric care, palliative care, and chronic disease management directly into skilled nursing and assisted living communities across the country.

The Data and Technology team is the infrastructure behind how this company scales its care model. They pull data from EHRs, claims, labs, payers, and CMS into a unified platform that drives clinical insights, operational visibility, and value based care outcomes. This is a true greenfield build. The company is standing up a brand new AWS data warehouse and engineering environment from scratch as part of a broader core systems replacement, targeting a November go live.

This is a rare opportunity to be the senior technical voice shaping how the data architecture gets built. There is no legacy system to inherit and no technical debt to untangle. You will report directly to the Director of Data Architecture and Engineering and have real influence over how the environment is structured from day one.

What You’ll Do

• Architect and orchestrate data pipelines pulling from EHRs, claims systems, labs, payers, and CMS through APIs, FHIR, and HL7
• Design, build, and manage the AWS data warehouse running Snowflake from the ground up
• Build and orchestrate workflows using Apache Airflow
• Set up and structure AWS environments to support in house development
• Build infrastructure that powers BI, analytics, and reporting for clinical and operational teams
• Optimize data models, storage, and query performance across the platform
• Help define data governance standards, coding practices, and testing and alerting frameworks
• Partner closely with leadership to translate business and clinical goals into data architecture decisions
• Mentor and support other engineers as the team grows

Preferred Technologies and Experience

• AWS as the primary cloud platform
• Snowflake
• Apache Airflow
• Python and SQL
• dbt
• GitHub for version control
• Experience with healthcare data standards such as HL7, FHIR, EHRs, and claims is a strong plus, though not required

What They’re Looking For

• 5+ years of experience designing, building, and orchestrating data pipelines and data warehouses
• Deep, hands on AWS data engineering experience is non negotiable
• Strong Python and SQL skills
• Proven experience with Apache Airflow for pipeline orchestration and monitoring
• Comfort working independently in a greenfield environment and making architecture decisions without heavy oversight
• Experience in a high growth or startup like environment, managing ambiguity and shifting priorities
• Healthcare or healthcare data experience is a plus, but strong AWS and data engineering fundamentals matter more
• Must be authorized to work in the US without current or future sponsorship needs
• Candidates based in California cannot be considered for this role

Why This Role

• Build a data warehouse and engineering environment completely from scratch with no legacy systems to maintain
• Work on a business critical, board visible project with a clear November go live
• Report directly to a Director of Data Architecture, with an Executive and CIO interview built into the process
• Join a company actively investing in scaling its data and AI capabilities rather than just maintaining what exists
• Take on meaningful ownership over architecture decisions from your first weeks
• Play a foundational role in the technology behind a rapidly growing healthcare services company

Compensation

$125K to $200K Base plus 10% Bonus and Benefits

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A rapidly scaling AI-native fintech and global workforce technology company is building a unified platform spanning payroll, PEP/EOR, contractor management, benefits, global payments and HR. Its ambition is to replace fragmented HR, payroll, payments and compliance infrastructure with a single intelligent operating system for businesses managing global workforces.

The platform combines proprietary financial infrastructure, workforce data and AI-driven automation across 150+ countries, creating a highly complex and technically ambitious product environment.

The role

The Director of Product will own product strategy and execution across a multi-product fintech platform, working across payroll, payments, HR, compliance and AI.

Reporting to the CEO, you will lead a team of Product Managers, whilst partner closely with Engineering, Operations, Sales and Marketing. Combining strategic product leadership with strong technical fluency, helping shape platform architecture, roadmap priorities and the company’s transition toward increasingly AI-native workflows.

Expectations & Ownership areas

• Own the product strategy and roadmap across payroll, PEO/EOR, contractor management, benefits, payments, HR and AI.
• Partner closely with Engineering and Architecture on APIs, data flows, integrations, platform architecture, scalability and technical trade-offs.
• Drive the evolution toward AI-native products, using AI agents, automation and proprietary data to eliminate complex manual workflows.
• Own product development end-to-end, from discovery and technical definition through launch, adoption and iteration.
• Balance customer-facing features with long-term platform and infrastructure investments, ensuring the product can scale technically and commercially.
• Establish rigorous product practices across prioritisation, road mapping, experimentation, metrics and execution.
• Lead and develop a high-performing team of Product Managers.
• Partner with senior Engineering, Operations and commercial leadership to translate company strategy into executable product priorities.
• Maintain a high bar for product quality, reliability, data integrity, security, compliance and auditability, particularly across financially sensitive workflows.

Ideal background

• 10+ years of Product Management experience with increasing ownership across technically complex products or platforms.
• Experience in fintech, payments, payroll, HR technology, workforce management or highly regulated SaaS.
• Strong technical fluency across APIs, distributed systems, data architecture, integration’s and platform strategy.
• Proven experience building and scaling Product teams and implementing rigorous product-management practices.
• Track record taking complex platforms from strategy through execution, balancing customer needs with technical debt and platform investment.
• Strong commercial and analytical orientation, using data and automation to improve operational workflows and customer outcomes.
• Executive-level communication skills and experience partnering directly with CEOs/founders and/or senior Engineering leadership.

Nice to have

• Experience building AI-native products, AI agents, LLM-powered workflows or intelligent automation.
• Background in global payroll, EOR/PEO, payments, HRIS or workforce infrastructure.
• Experience scaling a high-growth start-up/scale-up where the product and technical organisation are evolving rapidly.

For more information and to apply:

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Role Level: Manager

Industry: Fintech / E-Commerce Risk & Fraud

About the Role

We are recruiting on behalf of a leading technology organization building cutting-edge Machine Learning products that power critical, real-time e-commerce decisions at scale.

We are looking for a ML Engineering Manager to lead a team of high-performing engineers. In this role, you will operate in an environment where every challenge is a mix of experimentation, scalable code, and statistics. You will split your team’s focus between continuous, near-term model improvements and high-impact, long-horizon innovation bets.

If you thrive in ambiguity, love digging into code and evaluation pipelines, and know how to empower engineers to do their best work, this role is for you.

Key Responsibilities

1. Lead & Grow the Team

• People Leadership: Conduct regular 1:1s, provide continuous feedback, and support individual career development and skill growth.
• Culture: Foster a safe, transparent environment where open discussion is encouraged-including celebrating well-documented experimental results that didn’t work.
• Hiring: Conduct technical and hiring manager interviews, train the team on interviewing techniques, and raise the bar for talent as the team grows.

2. Manage a Portfolio of Experiments

• Technical Mentorship: Partner with Tech Leads to pressure-test and refine ideas, ensuring the strongest hypotheses receive the compute and headcount needed.
• Rigor & Evaluation: Bring statistical rigor to experimental outcomes. Ensure offline results predict online behavior and evaluate performance beyond single test windows.
• Portfolio Management: Balance short-term delivery targets against multi-quarter research bets. Make clear calls on when to iterate, launch, or pull the plug on workstreams.

3. Partner & Drive Direction

• Stakeholder Alignment: Work directly with Risk partners to translate complex ML metrics into actionable business outcomes.
• Autonomy: Operate with high autonomy to set team directions based on measured performance data rather than rigid product backlogs.
• Cross-Functional Collaboration: Partner with platform and infrastructure teams to improve feature systems, training pipelines, and experimentation tooling.

What You Bring

• Experience: 5+ years in ML, Data Science, or ML-adjacent software engineering, including 3+ years of direct people management experience.
• Technical Depth: Genuine depth in applied statistics, ML engineering, or software engineering-with working competence in the others. You should feel comfortable reading code and inspecting evaluation pipelines.
• Leadership Under Uncertainty: Proven ability to lead teams through ambiguous problem spaces, set clear directions, and adapt when data points in a new direction.
• Communication: Exceptional written and verbal communication skills. Ability to articulate complex technical ideas clearly in documents and present to executive leadership.
• High Bar for Quality: A strong commitment to correctness, reproducibility, and reliable production systems.

Why Apply?

• Drive high-impact innovation bets that shape the future of ML capabilities.
• Lead a collaborative, ground-up culture where those closest to the problems are empowered to solve them.
• Enjoy a high degree of autonomy in a fast-paced, evidence-driven engineering environment.

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