retailmediatools GmbH

Senior Data Engineer Retail Media / Ad Tech (m/f/d)

retailmediatools GmbH

Senior Data Engineer Retail Media / Ad Tech (m/f/d)

Senior Data Engineer Retail Media / Ad Tech (m/f/d)

retailmediatools GmbH

retailmediatools GmbH

retailmediatools GmbH

  • Berlin
    Bürostandorte
  • Vollzeit
  • Senior
    Du brauchst mindestens 5+ Jahre Berufserfahrung.
  • 100% Remote in DE
    Du kannst von überall in DE arbeiten

Veröffentlicht am 29.7.2025

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.


Tätigkeiten

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.

Anforderungen

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.

Team

We are a small, international team of tech, retail, and media experts, united by a shared mission to reshape the future of retail media. Around half of us are engineers who love clean APIs, scalable systems, and building reliable infrastructure. The other half brings deep expertise in strategy, marketing, product, and business operations - many of us have worked at or with some of Europe’s largest retailers and adtech companies.


We’re product-driven, low-ego, and hands-on. We believe in clarity over complexity, and in building solutions that are not just powerful, but also genuinely helpful for our customers. We work remotely, collaborate closely, and celebrate progress - whether it’s shipping a new feature, solving a customer challenge, or having a good laugh together in our weekly calls.


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.


Bewerbungsprozess

We aim to make the hiring process respectful of your time, transparent, and meaningful. Here's what you can expect:

  1. CV Screening
    We take a first look at your experience - focusing on relevant skills, tools you’ve used, and any domain knowledge in retail media, eCommerce, retail, adtech, or SaaS infrastructure.
  2. Intro Call
    A 30-minute conversation to get to know each other. We’ll share more about the role, the team, and the company, and you can ask any first questions.
  3. Home Task
    A well-scoped task to help us understand how you approach a technical challenge, structure your thinking, and make decisions.
  4. Tech Call
    A deeper, hands-on discussion with your future teammates. We might go through your home task together, exchange on technical concepts and tools, and talk about what matters most to you in your day-to-day work.
  5. Founders Call
    A final conversation with our founder - to get a feel for our culture, our mission, and the energy we bring to building something meaningful.

We believe hiring is a two-way street - and we’re just as excited to learn about you as you are to learn about us.

labels:relevantSkills

SQLPythonBig DataPostgreSQLKafkaRedisGoKubernetesApache FlinkSpark

labels:requiredLanguages

languages:English (languageLevels:fluent)

Benefits

Zusätzliche Benefits

Fully remote (within Germany)

Flexible Arbeitszeiten

Workation

30+ Urlaubstage

Unbefristeter Arbeitsvertrag

Mitarbeiter-Beteiligung

retailmediatools GmbH

👋 Hallo! Schön, dass du dir unsere Stelle anschaust! Wenn du interessiert bist, klicke einfach auf "Jetzt bewerben", um dich zu bewerben. Danach kannst du direkt mit uns chatten, falls du Fragen hast oder den nächsten Schritt besprechen möchtest.

Wir freuen uns auf dich! 😊

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