Software Engineer (f/m/d) – Data Platforms

smartclip; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

30 days vacation

Dec 24 & 31 off

Smart Fridays (4 days week possible)

Germany ticket & JobRad

Sports & health offerings

Mental health support

Corporate benefits

RTL+ access

Zusammenfassung

smartclip is seeking a Software Engineer for Data Platforms to design and build systems that process terabytes of TV and advertising data daily. You will ensure scalability, resilience, and cutting-edge performance across data pipelines.

You will work with Spark, Scala/Java and Python on a cloud-native stack (Docker/Kubernetes on AWS), emphasize test automation, and evaluate new Big Data tools to stay ahead. Berlin/hybrid environment with ownership and impact.

Qualifikationen

• Solid track record in software engineering with JVM languages (Scala/Java) and/or Python.
• Big Data expertise with Spark and Hadoop; experience with Trino, Flowman or Delta Lake is a plus.
• Strong infrastructure knowledge: CI/CD, Docker, Kubernetes, and AWS.
• Quality mindset with a focus on testing; Test Driven Development (TDD) is valued.
• Open-source advocate who embraces transparent, collaborative tooling.
• Fluency in German and English; hands-on, problem-solving attitude.

Aufgaben

• Engineer scalable data platforms and design high-performance data solutions.
• Continuously optimize data aggregation pipelines (TV data, advertising, forecasting) using Spark/Scala.
• Deploy and operate cloud-native solutions with Docker, Kubernetes on AWS.
• Lead the way on test automation and ensure reliable systems through comprehensive testing.
• Explore and evaluate new frameworks/tools to keep our Big Data stack cutting-edge.

Kenntnisse

Scala/Java

Python

Spark

Hadoop

Trino/Flowman/Delta Lake

CI/CD

Docker

Kubernetes

AWS

German & English fluency

Jobbeschreibung

Remote in our day-to-day work. On-site when it matters.

We work remote by default – focused, efficient, and with full ownership. For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin – fast, hands‑on, and without unnecessary meeting overhead.

We use AI to accelerate – not to replace thinking.

We design the system, steer the output, and take responsibility for what we ship.

Fast where it makes sense. Careful where it matters.

Your mission

Join our team at smartclip as a Software Engineer, Data Platforms. You will design and build the engines that process, transform, and refine terabytes of TV and advertising data every single day. Your goal is to ensure our data platform is scalable, resilient, and cutting-edge.

• Engineer Scalable Platforms: Design and implement technical solutions for Big Data applications in an agile, high‑performance environment.
• Optimize Data Flows: Continuously develop and refine our data aggregation pipelines (TV data, advertising, and forecasting) primarily based on Spark and Scala.
• Cloud‑Native Deployment: Host, manage, and scale your solutions using Docker and Kubernetes within the AWS cloud.
• Champion Quality: Lead the way in test automation – from unit tests to complex integration tests. For us, Test Driven Development (TDD) is the only way to build reliable systems.
• Tech Exploration: Evaluate new frameworks and tools, share your findings with the team, and help us stay at the forefront of Big Data technology.

You are a software engineer at heart

who loves the challenge of massive scale – you turn the complexity of terabytes of data into elegant, efficient code.

• Engineering Background: You have a solid track record in software engineering, with a strong focus on JVM languages (Scala/Java) and/or Python.
• Big Data Expertise: You are experienced with Spark, Hadoop, or similar distributed systems. Experience with Trino, Flowman, or Delta Lake will make you stand out.
• Infrastructure Knowledge: You are comfortable with CI/CD, Docker, Kubernetes, and AWS.
• Quality Mindset: You don’t ship without tests. You value efficiency, clean architecture, and pragmatic solutions.
• Open Source Advocate: You love the freedom and transparency of open-source software (you won't find any closed-source or Microsoft stacks here).
• Mindset: A "let's figure it out" attitude, a hands‑on mentality, and fluency in German and English.

Why you’ll love working with us

• Ownership over tickets: You’re trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement – we rely on you to take things forward.
• Build > Talk: We test what works – not what sounds good. Fail fast, learn faster.
• High standards, low ego: We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama.
• Stay sharp: Hackathons, conferences, community – we invest in your growth and keep you at the cutting edge.
• And yes – the fundamentals are covered too: 30 days of vacation + Dec 24 & 31 off, Smart Fridays (4 days week possible), mobility (Germany ticket & JobRad), sports & health offerings, mental health support, corporate benefits, RTL+ access, and more.

Your CV is just the starting point.

What matters more to us than your resume: a portfolio, a side project, a demo repo – anything that shows you don’t just talk about code, you ship it. Production‑ready. Thought through. Done.

Welcome to smartclip! We’re just your average group of techies, you know, trying to keep the internet open and defend the European TV industry from Silicon Valley’s giants. Join us!

About smartclip

smartclip is the adtech development unit of RTL Group — Europe’s leading free‑to‑air broadcaster group. Our proprietary advertising technology is custom‑built for the needs of European broadcasters and publishers — enabling media owners to implement smarter monetisation strategies. We are committed to delivering the most innovative ad experiences spanning in‑stream, out‑stream, addressable TV, connected TV, audio, and gaming — ultimately empowering brands with true cross‑screen storytelling opportunities on all devices.

For more information: Please visit www.smartclip.tv and follow us on LinkedIn.

Location: Berlin or Hybrid (max. 3 hours travel time to Berlin)