Data Engineer & Machine Learning
Transparent Hiring
Data Engineer (m/f/d) — Germany / Remote-first (DE & US)
Veröffentlicht am
Stellenbeschreibung
Transparent Hiring is recruiting on behalf of our partner company, a fast-growing reinsurance company operating across Germany and the United States. Corporate language: English. The environment is collaborative, hands-on, and driven by a strong “build and ship” mindset.
This is a hands-on engineering role. You will design and build solutions from scratch with limited resources by combining and adapting existing tools.
The role
We’re looking for a Data Engineer (m/f/d) to build and improve internal data solutions that make workflows and data more reliable and scalable. This is a hands-on role focused on data automation, pragmatic system design, and shipping working solutions.
What you’ll do
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Own the delivery of scalable internal data solutions (end-to-end, not just concepts)
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Translate business needs into clear technical designs and working systems
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Build and improve data pipelines, integrations, and automation
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Establish foundations for data reliability, reporting, and operational tooling
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Collaborate closely with stakeholders across Germany and the US
What you bring (must-have)
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5+ years of proven experience building and delivering data solutions in production
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Experience in startup environments (fast-moving, hands-on, limited resources)
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Strong skills in Python and SQL
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Experience creating solutions from scratch with limited resources—combining existing tools/solutions and adapting them to specific needs
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Solid understanding of data architecture, system design, and integration patterns
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Fluent professional English (spoken + written)
Nice to have
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Experience in insurance, reinsurance, banking, or finance
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Familiarity with cloud platforms and modern data tooling
Location & working model
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Remote-first across Germany and the US (offices available).
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Relocation to Germany is supported by Transparent Hiring if the candidate is based outside Germany, and wants to relocate.
If this sounds like the kind of hands-on role you enjoy, apply with your CV or LinkedIn profile — we’d love to hear from you.