Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Senior Data Engineer (Maternity Cover)

Geplaatst 17 mrt. 2026
Delen:
Werkervaring
5 tot 10 jaar
Full-time / part-time
Full-time
Functie
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)

Bouw aan je carrière op Magnet.me

Maak een profiel aan en ontvang slimme aanbevelingen op basis van je gelikete vacatures.

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience.

About this role

We are seeking a skilled Senior Data Engineer to join our multi-disciplinary team of analysts, engineers, and scientists. In this role, you will play a pivotal part in managing petabytes of click stream data and designing scalable GCP solutions.

We value a customer-centric approach and rely on teamwork to deliver robust data pipelines. In this role, you will own your results while building measurement datasets that turn big data into actionable insights for the entire business.

Please note: this is a maternity cover with an end date of January 31st, 2027.

These are some of the key components to the position:

  • Design and maintain scalable ETL/ELT pipelines on GCP for digital measurement data.
  • Leverage advanced SQL and Python to transform, optimize, and analyze large datasets.
  • Build and orchestrate data workflows using tools like Apache Airflow and DBT.
  • Design and maintain efficient data warehouse solutions on BigQuery to support global analytics.
  • Develop and optimize data models to ensure high performance and scalability.
  • Collaborate closely with analysts, scientists, and business stakeholders to understand data requirements and ensure data solutions meet business needs.
  • Ensure data quality, integrity, and governance throughout the data lifecycle.
  • Mentor junior colleagues, fostering a culture of technical growth, and provide technical recommendations to management and stakeholders.

What will you bring to the team?

  • The ideal candidate will approach challenges with optimism, maintain a solutions-oriented mindset, and contribute to a supportive and collaborative team environment.
  • A solution-oriented mindset with a commitment to achieving ambitious goals.
  • Proven expertise in handling Big Data complexities within a cloud environment, preferably GCP.
  • Advanced SQL proficiency for querying and optimization with a focus on clear documentation.
  • Strong Python skills and experience automating workflows with tools like Airflow or DBT.
  • Experience in guiding junior engineers and a passion for helping others succeed.
  • The ability to translate complex technical data into actionable recommendations for management.
  • A natural ability to build bridges and collaborate effectively across diverse teams.
  • A commitment to acting responsibly while making a lasting impact on our data culture.
  • Fluency in English, both written and spoken.

At JET, this is how we play

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.

Hier bij Takeaway.com hebben we de afgelopen jaren een enorme groei doorgemaakt sinds onze lancering in 2000! We bereiken intussen klanten in maar liefst 11 landen - van Nederland tot Polen. We zijn hét toonaangevende online eten-bestelplatform in continentaal Europa en Israël. En we blijven altijd in beweging... Van geavanceerde technologie tot creatieve content en alles daartussenin. We zijn van alle markten thuis en zijn enorm trots op onze sociale cultuur en focus op persoonlijke groei.

ICT
Amsterdam
Actief in 11 landen
300 medewerkers
50% mannen - 50% vrouwen
Gemiddeld 32 jaar oud