Data engineering jobs at Delivery Hero.

DH

Delivery Hero · api.smartrecruiters.com · checked today

Senior Data Engineer – MarTech

Skills, with evidence

• Airflow / orchestration
  Orchestration and integration patterns: Airflow DAG design, Pub/Sub, API and file-based ingestion (GCS, S3, CloudSQL replicas), idempotency, deduplication, backfills and late-arriving data.must havewrong?
• Data modelling
  Apply dimensional and incremental modelling, historisation, partitioning and clustering, and judge when each applies.must havewrong?
• Data quality
  Define tests, freshness SLAs and anomaly checks across owned domains, reducing incident rate and time-to-detect instead of reacting after stakeholders notice.must havewrong?
• Python
  Software engineering practice: strong Python and SQL with modularisation, testing, CI/CD, version control and monitoring.must havewrong?
• SQL
  Advanced SQL and data modelling: deep BigQuery skills, dimensional and incremental modelling, historisation, partitioning and clustering, and the judgment to know when each applies.must havewrong?
• Spark
  You will work across a broad technical surface (BigQuery, dbt, Airflow, Pub/Sub, Spark) at global scale.must havewrong?
• dbt
  dbt and transformation frameworks: model structure, tests, documentation and macros, keeping a large transformation DAG maintainable.must havewrong?
• Governance & security
  Own lineage, access control, PII policy tags and GDPR-compliant handling across your domains.must have · not practised herewrong?
• Failure handling
  Take a domain from requirements to production, monitoring and daily operation, rather than handing it over at deploymentwrong?
• Schema evolution & contracts
  We are looking for a Senior Data Engineer to own domains of this platform end-to-end: modelling, pipeline design, data quality, and the data contracts our stakeholders build on.wrong?
• Cost & performance
  Apply dimensional and incremental modelling, historisation, partitioning and clustering, and judge when each applieswrong?
• Idempotency & backfills
  Design for idempotency, deduplication, backfills and late-arriving datawrong?
• Streaming
  You will work across a broad technical surface (BigQuery, dbt, Airflow, Pub/Sub, Spark) at global scale, and you will be the person stakeholders come to when a domain needs to be designed, not just maintained.wrong?
• GCP
  You will work across a broad technical surface (BigQuery, dbt, Airflow, Pub/Sub, Spark) at global scale, and you will be the person stakeholders come to when a domain needs to be designed, not just maintained.not practised herewrong?