Data Engineer
At a glance
Mid-level Data Engineering role at Baxter Planning. Remote · full-time · €55,000–€65,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Build curated datasets, marts and product-ready tables that make data usable by analytics and data products
- Create incremental and micro-batch pipelines, including near-real-time change-data ingestion with AWS DMS
- Shape star-schema models and manage schemas so BI teams can work with trustworthy data
- Use Python and Polars for ETL/ELT, then query or serve outputs through Athena or Redshift
- Track data freshness, completeness, duplicates and anomalies, and contribute to orchestration, CI/CD and infrastructure automation
What you bring
- At least four years building and running production data pipelines
- Strong Python and AWS skills, including hands-on work with AWS DMS in production
- Experience with lakehouse tables, schema changes, partitioning and merge or upsert patterns
- You can design star-schema models and build testing and data-quality checks
Who this fits
This role suits a mid-level data engineer who has operated production pipelines and worked across AWS data services. It is a full-time remote position.
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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