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As a Data Engineer at Baxter Planning you will play a key role in building and evolving our data lake platform, supporting analytics and data-driven products across the business. You will design and operate reliable, production-grade data pipelines and curated datasets using modern AWS services and Python. This role focuses on data modeling, data quality, and near-real-time ingestion to ensure trustworthy, BI-ready data. You will work closely with engineers and stakeholders while contributing to architecture, automation, and best practices.
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
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. Originally posted on Himalayas