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Senior Data Engineer / Data Business Partner(m/w/x)
Designing and building scalable data pipelines for digital education products at an online learning platform. Strong Python and SQL data engineering experience, Airflow required. 10% innovation time, annual development budget.
Requirements
- Strong professional experience with Python and SQL in data engineering
- Professional experience with Airflow (required)
- Experience with dbt (strongly preferred)
- Experience with ELT/ETL tools like AirByte, Fivetran, or similar
- Experience working in AWS cloud environments
- Experience with data quality, testing, and operational excellence
- Strong stakeholder management and prioritization skills
- Hands-on experience integrating AI into workflows (model APIs, embeddings, automation)
- Active user of AI-assisted development tools (Copilot, Cursor, Claude Code, etc.)
- Mindset of ownership, pragmatism, and high standards
- MLOps, streaming, vector databases, or BI tooling experience
Tasks
- Define business-critical data products
- Ensure data product reliability
- Drive data product adoption
- Design scalable data pipelines
- Build scalable data pipelines
- Maintain scalable data pipelines
- Ensure reliability of AWS data infrastructure
- Ensure performance of AWS data infrastructure
- Implement data quality frameworks, monitoring, and observability
- Maintain data quality frameworks, monitoring, and observability
- Develop trusted semantic models
- Maintain trusted semantic models
- Develop metric definitions
- Maintain metric definitions
- Partner with Product and Finance teams
- Translate goals into reliable data deliverables
- Integrate AI/ML enrichment
- Utilize AI-assisted development tools
- Contribute to security, governance, and compliance best practices
- Mentor and support the team
- Foster mature data engineering practices
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Airflow
- dbt
- AirByte
- Fivetran
- AWS
- AI
- Copilot
- Cursor
- Claude Code
- MLOps
- Vector databases
- BI tooling
Benefits
Startup Environment
- Dynamic work environment
- Innovation time (10% rule)
Informal Culture
- Culture of trust and feedback
Learning & Development
- Professional development opportunities
Additional Allowances
- Annual budget for development
Flexible Working
- Flexible working hours
- Home office options
Retirement Plans
- Company pension scheme contribution
Mental Health Support
- Anonymous mental health support
- Psychological counseling
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Senior Data Engineer / Data Business Partner(m/w/x)
Designing and building scalable data pipelines for digital education products at an online learning platform. Strong Python and SQL data engineering experience, Airflow required. 10% innovation time, annual development budget.
Requirements
- Strong professional experience with Python and SQL in data engineering
- Professional experience with Airflow (required)
- Experience with dbt (strongly preferred)
- Experience with ELT/ETL tools like AirByte, Fivetran, or similar
- Experience working in AWS cloud environments
- Experience with data quality, testing, and operational excellence
- Strong stakeholder management and prioritization skills
- Hands-on experience integrating AI into workflows (model APIs, embeddings, automation)
- Active user of AI-assisted development tools (Copilot, Cursor, Claude Code, etc.)
- Mindset of ownership, pragmatism, and high standards
- MLOps, streaming, vector databases, or BI tooling experience
Tasks
- Define business-critical data products
- Ensure data product reliability
- Drive data product adoption
- Design scalable data pipelines
- Build scalable data pipelines
- Maintain scalable data pipelines
- Ensure reliability of AWS data infrastructure
- Ensure performance of AWS data infrastructure
- Implement data quality frameworks, monitoring, and observability
- Maintain data quality frameworks, monitoring, and observability
- Develop trusted semantic models
- Maintain trusted semantic models
- Develop metric definitions
- Maintain metric definitions
- Partner with Product and Finance teams
- Translate goals into reliable data deliverables
- Integrate AI/ML enrichment
- Utilize AI-assisted development tools
- Contribute to security, governance, and compliance best practices
- Mentor and support the team
- Foster mature data engineering practices
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Airflow
- dbt
- AirByte
- Fivetran
- AWS
- AI
- Copilot
- Cursor
- Claude Code
- MLOps
- Vector databases
- BI tooling
Benefits
Startup Environment
- Dynamic work environment
- Innovation time (10% rule)
Informal Culture
- Culture of trust and feedback
Learning & Development
- Professional development opportunities
Additional Allowances
- Annual budget for development
Flexible Working
- Flexible working hours
- Home office options
Retirement Plans
- Company pension scheme contribution
Mental Health Support
- Anonymous mental health support
- Psychological counseling
About the Company
meinUnterricht GmbH
Industry
Education
Description
meinUnterricht is a leading education technology platform serving tens of thousands of teachers across Germany and beyond.
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