Senior Data Engineer (m/f/d)

IX

Berlin
Full-time
Permanent
hybrid

Amazing work happens when everyone enjoys the journey. This is why we at momox, Europe's leading online buying-and-selling service for books, CDs, movies, games, and fashion do everything to set you up for success. We know that your ideas grow best in a challenging environment where a team of passionate professionals from diverse backgrounds come together to think outside the box.

Diversity-themed visual with statement: Four people of diverse backgrounds and gender expressions sit smiling on stacked colorful fabrics. On the left, white text reads: “We believe in a world where everyone belongs, grows and shines.”

Our mission

We are on a mission to save our planet - one second hand product at a time.

Our BI Engineering team builds the data foundations that power all business units across momox, from customer identity and marketplace integration to warehouse logistics and operational optimization. As a Senior Data Engineer, you will play a key role in creating scalable, reliable, and event-driven pipelines that integrate data from multiple applications and systems into our central data warehouse.

Your mission

Customer Identity & Data Integration: Build and maintain unified customer identity models across momox businesses (Books & Media, Fashion, etc.), ensuring consistent use of data for analytics and reporting
Data Pipelines & Event Processing: Design, build, and optimize batch and streaming pipelines, leveraging Pub/Sub and BigQuery for real-time data flows
Operational & Logistics Data: Develop metrics and pipelines that support warehouse efficiency
ETL/ELT Development: Create and optimize robust data transformations, ensuring scalability, automation and reliability
Performance & Observability: Monitor pipeline SLAs, improve performance through multiprocessing/event-driven workloads and implement automated data quality checks
Collaboration & Ownership: Translate business requirements into technical solutions, collaborate with analysts and product teams and mentor junior engineers
Best Practices & Strategy: Define data engineering standards, promote automation and efficiency and contribute to long-term architectural decisions

Our Tech Stack

Data & Processing: GCP, BigQuery, Pub/Sub, Airflow, dbt
Infrastructure: Kubernetes, Cloud Run
Programming: Python (ETL/ELT, APIs, event processing, automation)
Security & Cost Optimization: IAM, encryption, slot reservation, Policy Tags
Versioning & CI/CD: GitLab CI, Terraform

Your profile

At least 5 years of proven experience as a Data Engineer or in a similar role (e.g., Data Warehouse Engineer, BI Engineer with strong data focus)
Proven experience building scalable data pipelines (batch and streaming) in production environments
Hands-on expertise with BigQuery (optimization, cost-efficient design, partitioning, clustering) and broader GCP ecosystem experience
Platform and app deployments on Kubernetes (Airflow, Helm Chart, ArgoCD, Terraform)
Strong skills in Pub/Sub and event-driven architectures (Eventarc, Cloud Run)
Proficiency in Python for ETL/ELT development, APIs and automation
Strong Airflow experience for workflow orchestration and dbt proficiency with dimensional modeling expertise
Experience with data quality frameworks, automated testing and performance monitoring with observability practices
Background in e-commerce, retail or multi-product environments with complex data integration needs
Strong communication skills, collaborative mindset, and experience mentoring junior engineers and working with analytics teams

You can look forward to

Online since: 18.09.2025

Apply now!

We value diverse teams for many reasons and are happy to welcome you, no matter your nationality, ethnicity, gender, religion, disability, age or sexual orientation. What matters to us is that you are passionate, talented, willing to learn and want to grow with us.

Do you have questions? Feel free to reach out!

Marija Sevcovica
Recruiterin

recruitment@momox.biz
www.momox.biz