Beschreibung
Data Engineer.
Attractive salary
Hybrid job
Data industry
Europe
Job ref48221
Post DateOctober 26, 2026
The Role
You'll own the data lake — the system of record for millions of financial events a day across million of active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.
What you'll be doing
? Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
? Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
? Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
? Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
? Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
? Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
? Monitor ingestion health, data anomalies, and cloud storage/compute spend.
What we're looking for
? 3+ years in data engineering, with real ownership of a large-scale data lake or lakehouse.
? Cloud object storage (S3/GCS) plus Snowflake, Databricks, or BigQuery in production.
? Hands-on with an open table format (Iceberg, Delta, or Hudi).
? Deep understanding of partitioning, file layout, and query
Vollständige Beschreibung, Unternehmen und Bewerbungslink — nach der Anmeldung.
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