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.

Data Engineer

Geplaatst 26 jun. 2025
Delen:
Werkervaring
3 tot 8 jaar
Full-time / part-time
Full-time
Functie
Salaris
€ 4.000 - € 5.000 per maand
Soort opleiding
Taalvereiste
Engels (Vloeiend)

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Join Our Team as a Data Engineer

3 reasons you should join our team as Data Engineer

  • Data is your playground - and ours too. With over 10 million users and billions of transactions per month, your work directly influences the decisions that shape OPP’s future.
  • You won’t just build pipelines - you’ll help shape the foundation of a brand-new data warehouse from scratch. This is your chance to leave a mark on a critical company-wide initiative.
  • Join a fast-growing fintech with all the right ingredients: a collaborative culture, tech-minded peers, and the energy of a scale-up - backed by Worldline.

What started as five people, a small office, and a few nerf guns (to stay awake) has now grown into one of Europe’s fastest-growing fintechs. With 100+ colleagues, offices in Delft, Berlin, and London, and Worldline as a partner, we have the perfect mix: the resources of a global player with the energy of a scale-up. At OPP, we build the technology that powers the next generation of e-commerce. From eBay to Ikea, billions in transactions already flow through our systems. We don’t just handle payments—we enable platforms to accept, hold, and disburse funds securely.

As a Data Engineer, you’ll join our dedicated data team in Delft, working closely with the CTO, a Data Analyst, and DevOps/Development team. Your primary mission? Delivering a robust and scalable data warehouse to support better, faster decision-making. You’ll design and optimize data pipelines, ensure data quality, support data governance, and automate infrastructure with Terraform. On the short term, your focus will be on getting our data warehouse live. On the long-term, you'll enable analytics and data-driven strategies that help us outperform competitors and stay fast on our feet.

Job requirements

Your track record tells us

  • You bring at least 3 years of experience in data engineering, preferably within high-traffic or fintech environments.
  • You have an HBO+ degree in a relevant technical field.
  • Your toolbox includes advanced SQL (including window functions), Python (Airflow, PySpark), and AWS services (EMR, Athena, Kinesis, Lambda).
  • You’re familiar with data modeling (star/snowflake schemas), infrastructure automation using Terraform, and GitLab CI/CD.
  • You take ownership of end-to-end data pipelines, value collaboration with data analysts and developers, and troubleshoot like a pro.
  • Detail-oriented, proactive, and a team player who thrives in cross-functional setups.

Our offer

  • A modern, flexible workplace with hybrid working
  • 24 vacation days and 2 supercharge-me-days ⚡
  • 12-month contract with the possibility of permanent extension
  • The tools you need: a MacBook, home office setup, and NS Business Card
  • A developers-only office at Lange Geer 26, within walking distance of our sales and product teams in the heart of Delft
  • A great work atmosphere with catered lunches and regular team drinks

Want to know more about our projects?

Let’s talk! We’ll tell you everything you need to know. Send your CV or get in touch with our lead recruiter Gijs Cooijmans at gijs.cooijmans@onlinepaymentplatform.com or +31 6 20019821.

👋 it's me Mike, your hiring manager for this role

Did you know our APIs are called millions of times a day? Will you help keep our platform lightning-fast? Let’s connect!

Powering the world’s best marketplaces - starts with powering our people to do the best work of their career. At OPP you work on things that matter. Technology that directly impacts millions of people and companies like eBay, Nature.house, and ANWB. Here, you become a senior faster than anywhere else, supported by experts and all the resources you need.

ICT
Delft
Actief in 3 landen
40 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 32 jaar oud