Data Engineer (f/m/d) - AI

Dorling Kindersley Limited; Berlin; Vor Ort; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

A leading company specializing in AI development seeks a Data Engineer to design scalable data backends and work collaboratively with Data Scientists. This role offers an innovative environment where your contributions directly influence production-grade services. The company provides flexible work options, top-tier hardware, and development opportunities through platforms like Coursera and Udacity.

Leistungen

Paid access to Coursera and Udacity

4-day workweek (Smart Fridays)

Flexible hours & remote work

Top-tier hardware

Urban Sports Club deals

Qualifikationen

• Deep knowledge of software engineering, including testing and design patterns.
• Experience with data pipelines, storage, and processing techniques.
• Thrive in agile, cross-functional teams.

Aufgaben

• Design, build & run scalable data backends.
• Work closely with Data Scientists to convert prototypes into production.
• Automate & optimize AI APIs for stability and performance.

Kenntnisse

Software engineering

Data pipelines

Agile methodology

Tools

Python

SQL

Git

Jobbeschreibung

We’re not just another company piping our data into someone else’s black box. We build our own AI stack — scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading.

As ourData Engineer – AI, you'll own the architecture and operations of our AI applications — from raw data to production-grade services. You’ll work side by side with Data Scientists to make modelsactually usable, and you’ll drive the technical backbone of products that run at scale.

• Visible impact: Your work powers live services — used, tested, and appreciated
• Tech-first environment: We're AI-focused by design, not by buzzword
• Shape the future: You’re part of the journey, not just maintaining what’s already there

What You’ll Do

• Design, build & run: Architect scalable data backends to power our AI-driven products
• Bridge the gap: Work closely with Data Scientists to turn prototypes into production
• Automate & optimize: Ensure stability and performance of our AI APIs — and make testing a non-event
• Explore the new: Evaluate bleeding-edge tech in storage, compute, and orchestration — if it's open source and promising, you'll touch it
• Deep knowledge ofsoftware engineering, including testing and design patterns
• Experience withdata pipelines, storage, and processing techniques
• Aget-code-into-prodmentality — you care about robustness and performance
• You thrive inagile, cross-functional teams where people ship fast and learn faster

Your Tools

• Python– For building clean, scalable data pipelines and backend services.
• SQL– You write efficient queries and know your way around complex joins and large datasets.
• Git– Version control is second nature. You know how to branch, commit, and collaborate cleanly.

Bonus Skills (nice to have):Apache Hadoop, Spark /Docker, Kubernetes /Grafana, Prometheus, Graylog / Jenkins / Java, Scala /Shell scripting

We build with the tools we love (and we love good tools):TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP, C++, GitHub, and the occasional caffeine-fueled whiteboard sketch. And we’re not afraid to throw something out if there’s a better way. Check out our open source stuff:github.com/smartclip

What’s in Your Loot Box

• Top-tier hardware(Mac/Linux/whatever you need)
• Paid access toCoursera, Udacity, conferences, hackathons & coaching
• "Smart Fridays" –our 4-day workweekto protect your flow
• Flexible hours & remote work– we trust you to do your thing
• JobRad+Urban Sports Club deals+freeRTL+subscription

Ready to build AI that runs in production?

Drop us a line — we’d love to hear from you.

HR Contact

Sarah Leers

Company: smartclip Europe GmbH

State/Region:Hamburg

Postal Code:10405, 20457, 33332

Job ID: 280600

Datum: 13.06.2025