Senior Data Engineer
7 days ago
With a strong presence in Western Europe and the Middle East, the company operates several market-leading property and classifieds platforms, reaching millions of users every month.
What you'll do:
Design, build, and maintain data ingestion pipelines using AWS services (S3, Kinesis, Firehose, Lambda) and Snowflake features (Snowpipe, Snowpipe Streaming, auto-ingest).
Define and implement data contracts and SDKs for consistent and reliable data integration across teams and systems.
Collaborate with Analytics Engineers to ensure well-modeled, high-quality data in Snowflake.
Optimize data pipeline performance, cost, and reliability, ensuring efficient use of cloud resources.
Contribute to the client's CI/CD, monitoring, and data observability frameworks - including lineage, testing, and alerting.
Partner with platform and infrastructure teams to evolve our modern data stack and shared data services.
What we're looking for:
3+ years of experience in data engineering or data platform roles.
Strong Python and SQL skills; experience with data ingestion frameworks and event-driven architectures.
Hands-on experience with AWS (S3, Kinesis, Firehose, Lambda) and Snowflake (Snowpipe, Streams, Tasks).
Familiarity with CI/CD, infrastructure as code (Terraform), and Git-based workflows.
Solid understanding of data modeling, ELT workflows, and modern data platform design principles.
Pragmatic problem-solver with a focus on scalability, reliability, and cost efficiency.
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