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Senior Data Engineer

Job

  • Level
    Senior
  • Job Field
    Data, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Hamburg
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop scalable Reverse ETL pipelines, modernize data architectures, and collaborate closely with Backend and Analytics Engineers to design optimal data structures and promote operational excellence.

    Job Technologies

    Your role in the team

    • The Sponsored Content & Products team is a key growth driver. Its mission is to build highly scalable self-serve cost-per-click (CPC) bidding marketplaces that empower brands to efficiently boost their visibility in real time right at the digital point of sale.
    • While operating within an existing ecosystem, the architectural transition from a single monolith into four specialized product teams provides a highly autonomous, greenfield-like environment where your design decisions will directly shape our future state and enable us to multiply our Retail Media revenue.
    • Bridge Platform & Application Layers: Design, build, and maintain high-throughput Reverse ETL replication pipelines that bridge the gap between central core platform systems and client-facing reporting tools.
    • Evaluate Storage & Data Modeling: Actively evaluate whether data is structured correctly for their downstream use cases. Command strategic technical decisions on whether workloads belong in relational engines (MySQL aggregates), fast search indexing layouts (OpenSearch), cloud warehouses (BigQuery), or columnar storage (ClickHouse).
    • Pipeline Modernization: Take the lead in migrating our existing custom data processing pipelines into a modern, scalable data architecture through a secure transition path.
    • Cross-Functional Information Architecture: Collaborate closely with Backend Engineers and Analytics Engineers to design highly performant, scalable data structures, taking ownership of physical and logical modeling boundaries.
    • Drive Operational Excellence: Promote operational excellence across our data infrastructure by prioritizing proactive monitoring, system reliability, and overall application health just as much as building new pipelines.
    • Balance Innovation with Stability: Cultivate a very high standard of data infrastructure health, ensuring that long-term maintainability is valued equally with delivering new features.
    • Set engineering standards, evaluate technical trade-offs.

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    Our expectations of you

    Qualifications

    • Programming Languages: Strong proficiency in Python for writing custom data loading logic, data validation drivers, and cluster-executed sync utilities.
    • Database Architecture: Advanced understanding of relational and analytical database engines. Expert knowledge of when to leverage transactional relational setups (MySQL transaction isolation levels, query performance tuning) versus highly optimized columnar/document architectures (ClickHouse, OpenSearch, BigQuery).
    • Pragmatic & Solution-Oriented Mindset: A practical problem solver who values executing secure, stable transition steps over premature optimization or over-engineering.
    • Effective Communicator: Able to convey complex architectural concepts, technical designs and performance trade-offs clearly and simply.
    • High Autonomy & Proactive Ownership: Motivated to work independently, take charge of data initiatives.
    • Collaborative: Capable of working productively alongside central infrastructure teams to align on data handoffs, platform boundaries and information architecture.

    Experience

    • 5+ years of professional experience in data platform engineering.
    • 7+ years of total professional experience in (general) engineering.
    • Batch Workflow Orchestration: Expert experience building automated, event-driven batch architectures. Skilled in configuring state tracking, asset sensors, and task dependency graphs for complex pipeline schedules.
    • Observability & Telemetry: Erfahrung in der Überwachung von Systemressourcen, Protokollierung von Pipeline-Laufzeiten und Einrichtung zentralisierter Datenalarme in Überwachungsplattformen wie Datadog.

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    What we offer

    • Simply apply online via our career page - we will get back to you as soon as possible!

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Food & Drink

    Topics that you deal with on the job

    Job Locations

    • Location Hamburg

      Germany

    This is your employer

    About You

    About You

    As a rapidly growing online fashion retailer in Europe, ABOUT YOU has won multiple awards. As a fashion company and technology company, we work together to make the shopping experience more inspiring and personal for our customers.

    Description

  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Trade, Internet, IT, Telecommunication
  • Dev Reviews

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    Total

    (1 Review)
    3.7
    • Culture

      3.5
    • Career Growth

      3.6
    • Engineering

      3.6
    • Workingconditions

      4.0
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    Logo About You

    Senior Data Engineer

    Location
    Hamburg
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    English Only
    English only required

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