Consultant | Data Engineer | Public Sector

ADC Consulting; Amsterdam; On-site; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Impact delivery

Mentorship & growth

Freedom to innovate

Collective Week

Ownership & co-ownership

Vibrant culture

Job summary

ADC Consulting in Amsterdam is seeking a Data Engineer to design and build scalable data pipelines for public sector datasets and to develop production-ready data foundations for analytics and AI initiatives.

You will work with cloud platforms (AWS/Azure/Google Cloud) and collaborate with AI engineers, data scientists, and clients to deliver secure, reliable data solutions in regulated environments. Fluency in Dutch and English is required, with travel within the Netherlands expected.

Qualifications

• 3+ years of experience as a Data Engineer in large organizations.
• Strong foundation in cloud platforms and data pipelines.
• Experience in regulated/public sector environments and governance.
• Fluency in Dutch and English.
• Willingness to travel within the Netherlands.

Responsibilities

• Design, build, and maintain scalable data pipelines for public sector datasets.
• Develop data solutions on AWS, Azure, or Google Cloud following security best practices.
• Collaborate with AI engineers, data scientists, and client stakeholders to deliver practical solutions.
• Promote governance, model monitoring, and operational excellence across projects.

Skills

Data engineering

AWS/Azure/GCP

Python

Data modeling

Production monitoring

Education

AI & ML background

Mathematics/Statistics

Data Science

Tools

AWS

Azure

Google Cloud

Python

APIs

Orchestration frameworks

Job description

Who we are

ADC is a Boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award-winning data design studio (CLEVER°FRANKE) embedded in the group. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We bring the

Job Description

ADC is a Boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award-winning data design studio (CLEVER°FRANKE) embedded in the group. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We bring the full data value chain under one roof: from strategy and engineering to analytics, data science, and design. This way, we turn complex data into clear roadmaps, scalable foundations, AI-powered tools, and experiences people actually enjoy using.

We are a collective of statisticians, designers, PhDs, and agentic AI engineers with deep expertise in the industries we serve: financial services, life sciences, healthcare, the public sector, retail, agriculture, and transportation. We do not arrive with generic tools and a slide deck. We walk in, work alongside the people who know the organisation best, and build solutions that actually run.

We call ourselves Wayfinders. Our clients trust us to navigate complexity and make it real: turning ambition into action in environments where the margin for error is small and the consequences of getting it wrong are real, for customers, employees, supply chains, and the bottom line.

Shape the Future of AI-Powered Public services with ADC

Our Public & Society team is growing, and we are looking for a Data Engineer who is curious, technically driven, and eager to grow with us. As a Data Engineer, you will design and build scalable data pipelines that turn complex, high-volume datasets into reliable, production‑ready foundations for engineering and analytics.

You will contribute to AI initiatives for public institutions, developing scalable systems that help improve public services, optimize operations, and enable data‑driven decision‑making. You will work in highly regulated environments where security, privacy, traceability, and reliability are critical requirements.

You’ll be part of a true collective, working alongside consultants, data scientists, data engineers, and AI specialists.

Where you'll make an impact

Data Pipeline Development & Engineering

• Design, build, and maintain scalable data pipelines that address complex challenges within public sector organizations.
• Develop data solutions on cloud platforms (AWS, Azure, Google Cloud) that follow modern engineering and security best practices.
• Work with complex, high-volume, and heterogeneous datasets, ensuring data quality, traceability, and reproducibility.

Technical delivery & tooling

• Contribute to and implement solutions using modern data engineering frameworks.
• Support projects end-to-end, from early discovery and design through to production deployment.
• Help public sector organizations adopt engineering solutions responsibly by promoting best practices around model monitoring, governance, and operational excellence.

Collaboration & collective development

• Collaborate closely with AI engineers, data engineers, data scientists, and client stakeholders to co-create solutions that work in practice.
• Break down data engineering concepts into clear, practical recommendations that resonate with both technical and non‑technical audiences.
• Continuously improve engineering practices, architectures, and ways of working to deliver sustainable, high‑quality outcomes.

What You Bring

At ADC, we’re not just consultants: we’re leading experts in Data & AI using our expertise in AI, Data and Cloud Engineering. What unites us is a shared way of working: breaking down complex challenges to change how organisations operate.

• A quantitative academic background: AI, Machine Learning, Mathematics, Econometrics, Data Science, Computer Science, Physics or related field.
• 3+ years of experience as a Data Engineer, implementing data solutions in large, complex organizations.
• A solid foundation in AWS/Azure/Google Cloud, Python, data modelling, testing and monitoring in production environments.
• Experience working with data and regulated environments: Strong understanding of data pipelines, distributed processing, APIs, scalable data architectures, orchestration frameworks, and delivering solutions in public sector environments where privacy, traceability, governance, and reliability are essential.
• The ability to communicate with anyone in the room, breaking down complex ideas for technical and non-technical audiences.
• A proactive and entrepreneurial mindset: you’re eager to solve problems, innovate, and drive change.
• A collaborative spirit: You believe the best solutions come from diverse perspectives and supporting each other to raise the bar.
• Fluency in Dutch and English.
• Willingness to travel within the Netherlands.

What’s In It For You

At ADC, you’re part of the collective from day one. We want you to grow, experiment, and shape your own path while working on projects that matter. That means:

• Impact you can point to: You’ll see your work in action and our projects change how organisations make decisions
• Real responsibility, real support: You’ll work alongside experienced experts from the start, learning by doing with mentorship and feedback built in
• The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo
• Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explore new ideas, and make the kind of memories you’ll want to talk about
• Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co‑owner once specific conditions are met. We mean it when we say collective
• A vibrant culture: Daily lunches, Friday drinks, sports, social events: a culture you’ll notice from day one

• Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.