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Senior Data Engineer

Senior Data Engineer

Utrecht, Permanent

OQ are working with an Utrecht-based startup, their business is truly data driven. With one third of the current team (18 FTE) entirely focussed on Data Science, their commitment to their craft is evident. They are continuously developing and honing their product, a decision making tool for tech teams – enabling them to drive their product in an informed way.

Industry:

Tech

What to expect:

You will be working in close collaboration with experienced Software Engineers and Data Scientists to deliver scalable, reliable and flexible solutions based on huge sets of users behavioural data, never compromising on quality. Building long-term partnerships with customers to deliver custom data products, driving their data strategy forward. Facilitating the production of Machine Learning products from conception with control over the end-to-end data life cycle, collaborating with your SWE and Data Science teammates on deployment, testing and automation. Working with a sophisticated data stack in an environment with a strong software engineering culture.

Perks:

  • Joining a fast-growing and well-backed (VC funded) startup where your impact is and must be felt, from both a product development and team building perspective
  • Flexibility, autonomy, responsibility. You are trusted to get your work done but also given freedom to get it done when you want. Full transparency. You know what happened in board meetings, you know what salary brackets are. This space is about openness and fairness. You are an equal part of this organisation
  • A central and slick office in the heart of Utrecht

Requirements:

  • The technical approach here is largely agnostic and solutions focussed..However, you are used to working with SQL, Relational DBs, Columnar storage and pretty big data (multiple TBs), BigQuery. (standard, right?)
  • You must have a strong software engineering mindset, best practices are king. Ideally you are comfortable working at the intersection of software engineering, data science and product. Think version control, automated tests, CI/CD and code reviews
  • Culture fit is key here. You thrive with an occasional deadline - challenges and problem solving drive you - never ceasing to work meticulously of course
  • Pluses: Experience with a DS stack (common Python one ideally) along with user clickstream based data streams and Linux, Docker, Kubernetes

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Aoife Morrin