Mid Data Engineer (AWS)

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Description

Ready to reshape a data platform from the ground up? Join Us! As a leading AWS Partner in Europe , we support organizations at every stage of their cloud journey. Our strength comes from deep experience in cloud-native architectures. By joining our Data & AI team , you'll design and build scalable data platforms on AWS, work hands-on with the modern data stack, and directly shape how businesses in regulated industries process, store, and make sense of their data. You won't be locked into one project. Our projects range from greenfield builds to re-architecting existing platforms, from small two-week engagements to multi-year deliveries, across several industries. Some weeks you design a data lake from scratch, other weeks you migrate an orchestration layer or tune a warehouse. What stays constant is ownership: we work in a "we build it, we run it" model, so every engineer deploys their own solutions to production without handing off to anyone else. The stack you'll work with We pick tools per project, but this is the technology you'll typically touch: Data Warehouse / Data Lakehouse architectures on AWS alongside streaming and batch pipelines, Apache Iceberg as the open table format, Data Warehouses and query engines: DuckDB , Amazon Redshift, Amazon Athena, Amazon S3 Tables, Snowflake, ClickHouse , and other AWS-native data services, Airflow (AWS MWAA) and AWS Step Functions for orchestration, Apache Kafka and Amazon Kinesis for streaming, Debezium for CDC, dltHub for ingest

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