SumUp
Senior Data Engineer(m/w/x)
Full-timeOn-siteSenior
Berlin
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MAmama health
Senior Data Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Building data backbone for AI-first applications at a healthcare tech company, transforming raw patient data for journey analysis. 3+ years in Data Engineering or similar role required; strong Python and SQL skills essential. Analytical storage familiarity a plus. Annual workation, personal mentoring.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or related field
- 3+ years experience in Data Engineering, Analytics Engineering, or Backend-leaning data role
- Strong programming skills in Python and solid SQL skills
- Solid understanding of ETL/ELT concepts and experience building or maintaining data pipelines
- Experience working with relational databases and familiarity with analytical storage is a plus
- Familiarity with orchestration or transformation tooling
- Ability to clean, transform, and validate large datasets
- Interest or experience in extracting structured signals from unstructured data
- Basic experience with monitoring/observability for pipelines and willingness to own reliability
- Familiarity with cloud platforms and containerization
- Knowledge Graph is a plus but highly valued
- Good engineering hygiene: Git, code reviews, small frequent commits, tests, CI/CD
- Strong communication skills and willingness to collaborate
- Comfortable working in a fast-paced startup environment
Tasks
- Build the data backbone of the real-world evidence platform
- Work hands-on with data from multiple sources and formats
- Transform raw inputs into reliable, analytics-ready datasets
- Power patient journey analysis and product features
- Build and maintain data pipelines
- Define consistent data models
- Enable fast and trustworthy access to data for analytics, product, and AI teams
- Implement monitoring and quality checks for data ecosystem
- Improve pipeline reliability and performance
- Evolve the platform as product and data volume grow
- Translate real-world needs into pragmatic data solutions
- Balance speed and iteration with privacy, security, and correctness
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- PostgreSQL
- MySQL
- BigQuery
- Snowflake
- Redshift
- Airflow
- dbt
- Dagster
- Prefect
- AWS
- GCP
- Azure
- Docker
- Git
Benefits
Learning & Development
- Educational courses
Healthcare & Fitness
- Gym memberships
Mentorship & Coaching
- Mentoring
Team Events
- Team events
Workation & Sabbatical
- Annual workation
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of mama health and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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MAmama health
Senior Data Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Building data backbone for AI-first applications at a healthcare tech company, transforming raw patient data for journey analysis. 3+ years in Data Engineering or similar role required; strong Python and SQL skills essential. Analytical storage familiarity a plus. Annual workation, personal mentoring.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or related field
- 3+ years experience in Data Engineering, Analytics Engineering, or Backend-leaning data role
- Strong programming skills in Python and solid SQL skills
- Solid understanding of ETL/ELT concepts and experience building or maintaining data pipelines
- Experience working with relational databases and familiarity with analytical storage is a plus
- Familiarity with orchestration or transformation tooling
- Ability to clean, transform, and validate large datasets
- Interest or experience in extracting structured signals from unstructured data
- Basic experience with monitoring/observability for pipelines and willingness to own reliability
- Familiarity with cloud platforms and containerization
- Knowledge Graph is a plus but highly valued
- Good engineering hygiene: Git, code reviews, small frequent commits, tests, CI/CD
- Strong communication skills and willingness to collaborate
- Comfortable working in a fast-paced startup environment
Tasks
- Build the data backbone of the real-world evidence platform
- Work hands-on with data from multiple sources and formats
- Transform raw inputs into reliable, analytics-ready datasets
- Power patient journey analysis and product features
- Build and maintain data pipelines
- Define consistent data models
- Enable fast and trustworthy access to data for analytics, product, and AI teams
- Implement monitoring and quality checks for data ecosystem
- Improve pipeline reliability and performance
- Evolve the platform as product and data volume grow
- Translate real-world needs into pragmatic data solutions
- Balance speed and iteration with privacy, security, and correctness
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- PostgreSQL
- MySQL
- BigQuery
- Snowflake
- Redshift
- Airflow
- dbt
- Dagster
- Prefect
- AWS
- GCP
- Azure
- Docker
- Git
Benefits
Learning & Development
- Educational courses
Healthcare & Fitness
- Gym memberships
Mentorship & Coaching
- Mentoring
Team Events
- Team events
Workation & Sabbatical
- Annual workation
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of mama health and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
mama health
Industry
Healthcare
Description
The company builds AI-first applications to enhance patient care and improve healthcare data accessibility.
Not a perfect match?
- SumUp
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Full-timeOn-siteSeniorBerlin - BIT Capital
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