Senior Data Engineer - DataOps GCP (m/f/d)

Responsibilities

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

Technical Stack

• GCP services: BigQuery, Pub/Sub, Cloud Run.
• Workflow orchestration: Airflow.
• Data modeling & transformation: dbt.
• Infrastructure as code: Terraform.
• Source control & CI/CD: GitLab CI.
• Container platform: Kubernetes.
• Programming language: Python.
• Security & cost optimization: IAM, encryption, slot reservation, policy tags.

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.
• Experience with 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.

Benefits

• Flexible working hours: hybrid model with maximum flexibility and personal connections.
• Training: budget for professional development, language classes, internal training, conferences, online courses.
• Office dogs: relaxed work atmosphere with office dogs.
• Half day off on birthday: celebrate with a half day off on your birthday (and on December 24th and 31st).
• Reduced public transport ticket: cost savings with the Berlin S-Bahn ticket.
• Team events: regular events to connect and celebrate successes.
• Company discounts: monthly voucher for momox Fashion online shop and additional partner discounts.
• Sustainability: eco‑friendly supplies, double‑sided printing, energy‑saving modes, waste separation.
• Sports and fitness offers: online training, massages, stretching, or membership discounts for Urban Sports Club and Wellhub.
• Individual work environment: ergonomic workspace with height‑adjustable desks, choice of laptop, noise‑cancelling headphones, ergonomic chair or monitors.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

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