science + computing AG
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Düsseldorf, Stuttgart, Fürth, Hamburg, Berlin, Essen, Frankfurt am Main, München, Tübingen
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HAHavas Media Germany GmbH
Senior Data Engineer(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeSenior
Nejo AI Summary
Building data pipelines and models for media analytics at a dynamic agency. Advanced SQL and KNIME or Power Apps experience required. Up to 6 weeks workation per year.
Requirements
- Degree in computer science, business informatics, or related field
- Strong MSSQL database experience and advanced SQL skills
- Hands-on KNIME experience for data workflows and Data Apps, or Microsoft Power Apps experience
- Experience designing and maintaining ETL/ELT pipelines and data integration
- Solid programming skills for data processing and automation (e.g., Python, JavaScript)
- Strong understanding of data modelling, pipeline architecture, and scalable data processing
- Experience in automation and optimization of data workflows
- Ability to translate complex business requirements into technical solutions
- Strong collaboration and communication skills
- Experience in media or advertising industry is a plus
Tasks
- Build and maintain reliable data foundation
- Design robust data pipelines
- Integrate data from internal and external sources
- Develop scalable data models
- Enable fast analysis and efficient reporting
- Automate data integration and transformation workflows
- Improve data architecture and processing performance
- Monitor data pipelines for inconsistencies
- Resolve data issues before impacting reporting
- Collaborate with analysts and business stakeholders
- Translate business needs into data solutions
- Contribute to knowledge sharing and best practices
- Document data models, pipelines, and automation processes
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- MSSQL
- SQL
- KNIME
- Microsoft Power Apps
- ETL
- ELT
- Python
- JavaScript
Benefits
Family Support
- Good work-life balance
Informal Culture
- Great working atmosphere
Flexible Working
- Up to 50% home office
- Flexible work hour arrangement
- Daily focus time (12-14h)
Workation & Sabbatical
- Workation up to 6 weeks per year
- Sabbaticals possible
Healthcare & Fitness
- Fitness First membership for 10€/month
Team Events
- Annual team events
Learning & Development
- Individual development plan
- Further training
- Access to Havas University
Career Advancement
- Regular feedback
Startup Environment
- Opportunity to shape processes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Havas Media Germany GmbH 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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HAHavas Media Germany GmbH
Senior Data Engineer(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeSenior
Nejo AI Summary
Building data pipelines and models for media analytics at a dynamic agency. Advanced SQL and KNIME or Power Apps experience required. Up to 6 weeks workation per year.
Requirements
- Degree in computer science, business informatics, or related field
- Strong MSSQL database experience and advanced SQL skills
- Hands-on KNIME experience for data workflows and Data Apps, or Microsoft Power Apps experience
- Experience designing and maintaining ETL/ELT pipelines and data integration
- Solid programming skills for data processing and automation (e.g., Python, JavaScript)
- Strong understanding of data modelling, pipeline architecture, and scalable data processing
- Experience in automation and optimization of data workflows
- Ability to translate complex business requirements into technical solutions
- Strong collaboration and communication skills
- Experience in media or advertising industry is a plus
Tasks
- Build and maintain reliable data foundation
- Design robust data pipelines
- Integrate data from internal and external sources
- Develop scalable data models
- Enable fast analysis and efficient reporting
- Automate data integration and transformation workflows
- Improve data architecture and processing performance
- Monitor data pipelines for inconsistencies
- Resolve data issues before impacting reporting
- Collaborate with analysts and business stakeholders
- Translate business needs into data solutions
- Contribute to knowledge sharing and best practices
- Document data models, pipelines, and automation processes
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- MSSQL
- SQL
- KNIME
- Microsoft Power Apps
- ETL
- ELT
- Python
- JavaScript
Benefits
Family Support
- Good work-life balance
Informal Culture
- Great working atmosphere
Flexible Working
- Up to 50% home office
- Flexible work hour arrangement
- Daily focus time (12-14h)
Workation & Sabbatical
- Workation up to 6 weeks per year
- Sabbaticals possible
Healthcare & Fitness
- Fitness First membership for 10€/month
Team Events
- Annual team events
Learning & Development
- Individual development plan
- Further training
- Access to Havas University
Career Advancement
- Regular feedback
Startup Environment
- Opportunity to shape processes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Havas Media Germany GmbH 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Havas Media Germany GmbH
Industry
Media
Description
Das Unternehmen bietet integrierte Lösungen in der modernen Kommunikation, einschließlich klassischer Medien, Social Media und AdTech.
Not a perfect match?
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