Senior Data Engineer
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What you'll do
- Design and build batch and real-time ETL/ELT pipelines
- Model and maintain warehouses and lakehouses (Snowflake, BigQuery, Redshift)
- Build transformations with dbt and orchestrate with Airflow, Dagster or Prefect
- Own data quality, observability and lineage
- Prepare data for analytics, ML and AI workloads What we're looking for
- 5+ years of data engineering experience
- Strong SQL and Python; Spark, Airflow and dbt
- Experience designing pipelines at scale on AWS or GCP
- Streaming (Kafka, Kinesis) is a plus
- Fluent English (B2+), you'll work daily with US teams How it works Every candidate goes through the same 3-step vetting: a short coding challenge, an AI interview in English, and a final call. Apply on our site; it takes 2 minutes with your CV or LinkedIn PDF.
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