Data Engineer
Location not identified
- Pay
€55,000–65,000/yearAnnual period assumed — pay source
What we offer A competitive salary (€ 55000 - € 65000) Work in a friendly and diverse team
Read the full posting- Work setup
Remote stated — work setup source
Listed location: Remote
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingYou will design and operate reliable, production-grade data pipelines and curated datasets using modern AWS services and Python.
You will work closely with engineers and stakeholders while contributing to architecture, automation, and best practices.
From the employer’s posting
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
Tools in this posting
- Python
- AWS
- Dynamodb
- Redshift
- S3
- Airflow
- Polars
Source — Tool mentions in context
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
- 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)
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
- 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
- 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
Benefits in the posting
Full benefits wording- private health insurance
- gym membership
- learning opportunities
- flexible benefits
- team events
- free office snacks and drinks
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 1d ago
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
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.
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on baxterplanning.applytojob.com. The employer’s form will show what is required.
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- Pay
What we offer A competitive salary (€ 55000 - € 65000) Work in a friendly and diverse team
- Location & working pattern
Remote
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- 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.
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