Data Engineer

Baxter Planning Systems, Inc.; Barcelona; On-site; EUR 55,000 - 65,000; Full time

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.

Skills

Python programming

Async/concurrency

Production data pipelines

Data modeling (star schema)

Testing & data quality

DMS production experience

Tools

Polars

Airflow

Athena

Redshift

DMS

CloudFormation

Lake Formation

Job description

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.