Senior Data Engineer Retail Media (m/f/d) remote

Location: Berlin, Germany or Remote (in Germany only)

About retailmediatools

At retailmediatools, we are redefining retail media infrastructure. We provide a flexible, API-first SaaS platform that helps retailers launch and manage their own retail media use cases. Our platform supports various ad formats, including Sponsored Products, Display Banners, Video Ads, and even Coupons/Discounts, across e-commerce, mobile, and in-store touchpoints. On top, we provide a white label self-service user interface that enables a retailer to become a full advertising platform in no time.

According to IAB, retail media is the fastest-growing area in digital advertising, expanding nearly four times faster than the overall ad market in Europe. Our team brings together AdTech, Retail, and Media experts to help retailers of all sizes unlock new revenue streams (from small eCommerce pure players to large multi-channel retail groups with thousands of stores).

Our mission is to empower retailers to maximize the value of their digital assets by giving them full control over their advertising solutions.

Why This Role Matters

As a Senior Data Engineer, you will play a key role in shaping our company. At this stage, every line of code, every architectural decision, and every optimization has a direct impact on our success. For example, you will design and scale high-volume data pipelines that process large amounts of retail media data, enabling AI-driven ad targeting, real-time reporting, and campaign optimization. If you\’re autonomous, enjoy solving data challenges, and care about making a real impact, this role is for you.

What You’ll Do

• Design, build, optimize, and own data pipelines for batch and real-time processing.
• Collaborate with ML engineers & developers to integrate predictive models that enhance ad performance.
• Develop and maintain ETL workflows for secure, reliable data processing at scale.
• Monitor, analyze, and improve pipeline performance for low latency, high availability, and cost efficiency.
• Make pragmatic decisions on tools, technologies, and trade-offs to keep things efficient and cost-effective.

What You Bring

• Proven experience in building and optimizing high-scale data pipelines in production.
• Deep understanding of database internals, indexing, distributed systems, and performance tuning.
• Hands-on expertise with SQL, Python, BigQuery, dbt, Postgres, Kafka, Redis, and any workflow orchestrator for data pipelines.
• Ability to work independently and take full ownership – you don´t wait for instructions.
• Strong bias for action – you focus on solutions, not overengineering.
• Familiarity with DataOps (CI/CD, pipeline monitoring, automated testing) is a plus.
• Experience with AI/ML-powered data solutions is nice to have, but not required.
• Bonus: Experience with Go, Kubernetes, Temporal, Flink, Spark.
• Clear, no-nonsense (English) communication skills – explain complex ideas simply.
• While we operate remotely, you must live in Germany and be eligible to work here.

Why You’ll Love Working With Us

Real Impact & Ownership: Work on projects that shape the future of Retail Media.

Remote-First Culture: Work from anywhere in Germany or join us in Berlin – your choice!

Pragmatic, High-Performance Culture: We focus on results, not process for process’s sake.

Low-Meeting, Tech-Driven Environment: We value focused work over unnecessary meetings.

Cutting-Edge Tech Stack: Work with the latest technologies in AdTech & Retail Media.

Join Us!

We’re looking for innovative thinkers excited to build the future of Retail Media. If you’re passionate about scalable data infrastructure and high-performance systems, we’d love to hear from you!

Apply now and become part of our journey!

Seniority level

• Mid-Senior level

Employment type

• Full-time
• Industries: Software Development

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