Baxter Planning

Data Engineer

Spain full-time Senior EUR55,000 - EUR65,000
full-time Senior level Technology & IT Salary listed Curated
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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.Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT Data Analysis Python Data Engineer Technology Senior level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer role.
  2. How would you approach your first 30 days at Baxter Planning?
  3. Which of Data Analysis, Python and Data have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Data.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer role because I can bring practical experience in Data Analysis, Python and Data, learn the team quickly, and contribute to the outcomes Baxter Planning needs from this hire.

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