What you’ll doBuild the data-serving layer: curated datasets, marts, and product-ready tablesDevelop incremental / micro-batch pipelines and support CDC near-real-time ingestion (AWS DMS)Design BI-friendly data models (star schema) and manage schemasBuild ETL/ELT in Python (Polars) and serve/query via Athena and/or RedshiftImplement data quality + observability (freshness, completeness, duplicates, schema drift, anomalies)Orchestrate with Airflow and AWS-native tools (e.G., Step Functions)Contribute to CI/CD, IaC, architecture discussions, and best practicesWhat we’re looking for4+ years building and operating production data pipelinesStrong Python (async/concurrency is a plus)Strong AWS across services like: S3, Glue, Athena, Redshift, Lake Formation, CloudWatch, DMS, Lambda, Step Functions, SQS/SNS, ECS, DynamoDB (+ CloudFormation)Experience with lakehouse tables (Delta or similar), schema evolution, partitioning, compaction, upserts/mergeSolid data modeling skills (star schema)



and commitment to testing & data qualityExperience running AWS DMS in production (monitoring/troubleshooting)What we offerA competitive salary (€ 55000 - € 65000)Work in a friendly and diverse teamprivate health insurancegym membershiplearning opportunitiesflexible benefitsteam eventsfree office snacks and drinksBaxter Planning is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Baxter Planning is also committed to compliance with all fair employment practices regarding citizenship and immigration status.#J-18808-Ljbffr

📌 Data Engineer (Madrid)
🏢 Baxter Planning Systems
📍 Madrid