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Baxter Planning VERIFIED EMPLOYER

Data Engineer.

Remote Data Engineering & Architecture Full-Time
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Data Engineer: our view in 3 lines...

  • The Role:This role involves building and maintaining a data lake platform that supports analytics and data-driven products for a business.
  • The Person:The person will design and operate production-grade data pipelines and curated datasets, support near-real-time ingestion with CDC, implement data quality checks, and orchestrate workflows with Airflow.
  • Requirements:The ideal candidate has 4+ years building and operating production data pipelines, strong Python, strong AWS, solid data modeling skills, and experience running AWS DMS in production.

About the role

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
  • 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.

Published October 15, 2026
Location Barcelona, Spain
Category Data Engineering & Architecture  
Job Type Full-Time  

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