Data Engineer: Real-Time AWS Pipelines & Data Quality

Baxter Planning Systems, Inc.

Barcelona

On-site

EUR 55,000 - 65,000

Full time

2 days ago

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Benefits offered by this job

private health insurance

gym membership

learning opportunities

flexible benefits

team events

snacks & drinks

Job summary

Baxter Planning Systems, Inc. is hiring for a data engineering role in Spain to build and maintain production pipelines and data models. You will develop scalable ETL/ELT in Python using Polars, and query data via Athena or Redshift, while ensuring data quality and observability.

You’ll collaborate on CI/CD, IaC, and architectural discussions, and work with AWS services and BI-ready star schemas in a dynamic team.

Qualifications

4+ years building and operating production data pipelines.
Strong Python with async capabilities are a plus.
Extensive AWS experience across S3, Glue, Athena, Redshift and more.
Experience with lakehouse tables, schema evolution, partitioning and upserts.
Solid data modeling skills (star schema) and emphasis on data quality.
Experience running AWS DMS in production and monitoring.

Responsibilities

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 (Step Functions, etc.).
Contribute to CI/CD, IaC, architecture discussions, and best practices.