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Engineering Manager - Data Engineering(m/w/x)
Description
As an Engineering Manager for Data Engineering, you will lead the design and implementation of Master Data Management solutions, guide high-performing teams, ensure alignment with business goals, and foster a culture of continuous improvement.
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Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master's Degree in Computer Science, Engineering, or related field, or equivalent experience
- •8+ years of experience in data or software engineering roles, including 5+ years in engineering leadership
- •Proven track record in delivering and managing MDM solutions or other components of a Data Platform
- •Hands-on experience with MDM platforms (e.g., Stibo STEP, Informatica), data modeling, data quality, and data governance
- •Solid experience with SQL, NoSQL (e.g., MongoDB), Kafka and cloud services like AWS Glue, Data Factory, Databricks
- •Experience leading engineering teams in Agile/DevOps environments, using CI/CD tools (GitHub Actions, Azure DevOps)
- •Strong technical and functional understanding of canonical models, microservices, and distributed data architectures
- •Excellent interpersonal and communication skills, with the ability to explain complex technical concepts clearly
- •Demonstrated ability to create a culture of continuous learning, experimentation, and technical excellence
Education
Work Experience
8 years
Tasks
- •Lead and mentor cross-functional engineering teams
- •Manage the implementation and support of the enterprise MDM hub
- •Design and implement scalable data models and business rules
- •Establish data quality standards in collaboration with governance teams
- •Champion engineering best practices, including code quality and testing
- •Oversee the implementation of a third-party MDM platform
- •Align engineering execution with business goals and roadmap priorities
- •Define and track KPIs for team performance and platform health
- •Ensure compliance with SDLC and enterprise architecture standards
- •Evaluate emerging technologies for applicability in the MDM ecosystem
- •Present insights and progress updates to executive leadership
- •Contribute to hiring and professional development of engineering talent
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible hybrid work environment
Corporate Discounts
- •20% employee discount
Mentorship & Coaching
- •Continuous learning and mentorship
Mental Health Support
- •Holistic health support
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Engineering Manager - Data Engineering(m/w/x)
The AI Job Search Engine
Description
As an Engineering Manager for Data Engineering, you will lead the design and implementation of Master Data Management solutions, guide high-performing teams, ensure alignment with business goals, and foster a culture of continuous improvement.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master's Degree in Computer Science, Engineering, or related field, or equivalent experience
- •8+ years of experience in data or software engineering roles, including 5+ years in engineering leadership
- •Proven track record in delivering and managing MDM solutions or other components of a Data Platform
- •Hands-on experience with MDM platforms (e.g., Stibo STEP, Informatica), data modeling, data quality, and data governance
- •Solid experience with SQL, NoSQL (e.g., MongoDB), Kafka and cloud services like AWS Glue, Data Factory, Databricks
- •Experience leading engineering teams in Agile/DevOps environments, using CI/CD tools (GitHub Actions, Azure DevOps)
- •Strong technical and functional understanding of canonical models, microservices, and distributed data architectures
- •Excellent interpersonal and communication skills, with the ability to explain complex technical concepts clearly
- •Demonstrated ability to create a culture of continuous learning, experimentation, and technical excellence
Education
Work Experience
8 years
Tasks
- •Lead and mentor cross-functional engineering teams
- •Manage the implementation and support of the enterprise MDM hub
- •Design and implement scalable data models and business rules
- •Establish data quality standards in collaboration with governance teams
- •Champion engineering best practices, including code quality and testing
- •Oversee the implementation of a third-party MDM platform
- •Align engineering execution with business goals and roadmap priorities
- •Define and track KPIs for team performance and platform health
- •Ensure compliance with SDLC and enterprise architecture standards
- •Evaluate emerging technologies for applicability in the MDM ecosystem
- •Present insights and progress updates to executive leadership
- •Contribute to hiring and professional development of engineering talent
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible hybrid work environment
Corporate Discounts
- •20% employee discount
Mentorship & Coaching
- •Continuous learning and mentorship
Mental Health Support
- •Holistic health support
About the Company
C & A
Industry
Fashion
Description
Das Unternehmen hat eine tolle Unternehmenskultur mit offenen Türen, in der Wertschätzung und Diversität gelebt werden.
- NICE
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Full-timeWith HomeofficeSeniorDüsseldorf - fair parken
Leitung Data & Analytics(m/w/x)
Full-timeWith HomeofficeSeniorfrom 55,000 - 65,000 / yearDüsseldorf - Deloitte
Manager Data Management Strategy(m/w/x)
Full-timeWith HomeofficeManagementBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart, Walldorf