Data Engineer
At a glance
Mid-level Data Engineering role at Baxter Planning. Remote · full-time · €55,000–€65,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build curated datasets, marts and product-ready tables for analytics and data products
- Create incremental and micro-batch pipelines, including near-real-time change data capture with AWS DMS
- Shape star-schema models and manage schema changes so BI data is ready to use
- Use Python, Polars, Athena and Redshift to transform and serve data
- Track data freshness, completeness, duplicates and schema drift; contribute to orchestration, CI/CD and architecture practices
What you bring
- At least four years building and operating production data pipelines
- Strong Python skills and broad experience with AWS services
- Production experience monitoring and troubleshooting AWS DMS
- Hands-on knowledge of lakehouse tables, schema evolution, partitioning and merge operations
- Solid star-schema modeling skills, with testing and data quality built into your work
Who this fits
This mid-level role suits a data engineer focused on production pipelines, AWS, and BI-ready datasets. The position is listed as remote.
From the employer
What you’ll do
- Build the data-serving layer: curated datasets, marts, and product-ready tables
- Develop incremental / micro-batch pipelines and support CDC near-real-time ingestion (AWS DMS)
- Design BI-friendly data models (star schema) and manage schemas
- Build ETL/ELT in Python (Polars) and serve/query via Athena and/or Redshift
- Implement 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 practices
What we’re looking for
• 4+ years building and operating production data pipelines
• Strong 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/merge
• Solid data modeling skills (star schema) and commitment to testing & data quality
• Experience running AWS DMS in production (monitoring/troubleshooting)
What we offer
- A competitive salary (€ 55000 - € 65000)
- Work in a friendly and diverse team
- private health insurance
- gym membership
- learning opportunities
- flexible benefits
- team events
- free office snacks and drinks
Baxter 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.
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Data EngineeringRemote€50k+
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