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Senior Full-Stack Data Engineer

Job in 5600, Eindhoven, North Brabant, Netherlands
Listing for: Karlstad University
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 EUR Yearly EUR 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Organisatie:
Library and Information Services

Societal challenges demand new knowledge. It is the task of the TU/e to develop this knowledge by adapting and changing research and education. At Library and Information Services (LIS) we look ahead, together with our scientists and students, and constantly provide the best possible library and information services to enable the creation of this new knowledge.

Job Description

Join the Data Revolution at Tu/e:
Where Data Meets Discovery!
As the data team for researchers, we empower our community with tailored and cost-effective data solutions for pioneering innovations. As part of the Product Area Research (PAR), our mission is to equip our university’s brightest minds with the tools and technology they need to navigate the entire research data & AI lifecycle. We are building an advanced data ecosystem that’s more than just infrastructure, it’s a launchpad for groundbreaking investigations.

Technologyevolves fast and so do we. While continuously reinventing ourselves, we take pride in putting strong foundations first. Together with our research community across TU/e, we explore and validate new ways of working with data. This ranges from testing and integrating techniques such as synthetic data to developing the smart campus data ecosystem, where we provide the infrastructure building blocks that turn real campus data into shared foundations for advanced analytics and data-driven decision‑making at TU/e.

That is why we are looking for a Senior Full‑Stack Data Engineer to join us on this journey.

Your role

As our senior full‑stack data engineer, you will serve as the primary collaborator to the Tech Lead within a young, ambitious team of three developers and a Product Owner. We are currently scaling our footprint within the TU/e organization, transitioning from foundational builds to a mature, high‑output engineering culture. If your ambition is experimenting, designing and implementing such data solutions, we want to hear from you!

What

you will do

You will work in lockstep with the Tech Lead to shape our technical roadmap, acting as a vitals partner. We are looking for a disciplined engineer who can navigate the "big picture" while ensuring our infrastructure remains rock‑solid; someone who turns complex ideas into production‑worthy reality with independent initiative.

  • Full‑Stack Development: Architect and build internal data products, developing both the robust Python/Spark backends and the intuitive Frontend interfaces that bring data to life.
  • Rapid Prototyping: Act as the team’s "bridge" from concept to reality, utilizing "Vibe Coding" and AI‑assisted workflows to quickly prototype frontends that validate ideas before full‑scale production.
  • User‑centric data delivery: Transform complex datasets into actionable tools, ensuring that the "last mile" of data delivery (the UI/UX) is as high‑quality as the pipeline behind it.
  • Collaborative architecture: Design and maintain scalable data pipelines using Apache Spark and Databricks, ensuring data integrity across the entire lifecycle.
    Infrastructure as code:
    Take full ownership of the deployment lifecycle—from frontend assets to backend infrastructure—using Databricks Asset Bundles (DABs), Terraform, and Git Lab CI/CD.
  • Building intelligent ecosystems: Implement event‑driven ingestion patterns and explore the integration of agents, LLMs, and Model Context Protocols (MCP) to enable smart, full‑stack research applications.
  • Secure and connected infrastructure. Apply your networking knowledge (VNets, subnets, firewalls) to ensure applications are secure, performant, and well‑integrated within the TU/e landscape.
Job Requirements
  • A strong background in software and data engineering, with a proven track record of production‑grade systems
  • Expert‑level experience with Python, Spark, and Databricks
  • Strong proficiency with Terraform and Databricks Asset Bundles
  • Intermediate knowledge of networking concepts such as VNets, subnets, NAT gateways, and firewalls
  • A collaborative mindset: you challenge ideas constructively and enjoy working closely with a Tech Lead
  • Comfort navigating shifting priorities while staying focused on…
Position Requirements
10+ Years work experience
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