The AI Job Search Engine
Sr EM Data Platform(m/w/x)
Description
You will lead the evolution of the company's data ecosystem, from modernizing core architecture to scaling a high-performing team that supports advanced analytics and ML Ops.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Experience in data platform and DataOps
- •Background in data engineering and design
- •Understanding of data integration and APIs
- •Grasp of data quality and reliability
- •Experience designing enriched data layers
- •Knowledge of data governance and security
- •Experience with data platform observability
- •Ability to lead and grow teams
- •Strong communication and stakeholder management
- •Comfort operating in ambiguous environments
- •Experience defining data operating models
Tasks
- •Lead and scale a data engineering team
- •Provide hands-on technical leadership
- •Define the data warehousing strategy and technology stack
- •Architect integrations with operational systems and third-party tools
- •Establish standards for data ingestion and enrichment
- •Ensure reliability and fault tolerance across data pipelines
- •Design foundational data layers for analytics and reporting
- •Optimize warehouse schemas for performance and cost efficiency
- •Oversee data platform governance and access control
- •Implement observability for pipelines and data quality
- •Balance strategic priorities with operational excellence
Tools & Technologies
Languages
English – Business Fluent
Benefits
Informal Culture
- •Positive, vibrant and inspiring environment
Diverse Work
- •Cross-department projects
Flexible Working
- •Flexible working hours
- •Hybrid working
Workation & Sabbatical
- •Workcations
Team Events
- •Regular team events
Additional Allowances
- •Personal development budget
Learning & Development
- •Job-related language courses
- ApaleoFull-timeWith HomeofficeSeniorMünchen, Berlin
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Sr EM Data Platform(m/w/x)
The AI Job Search Engine
Description
You will lead the evolution of the company's data ecosystem, from modernizing core architecture to scaling a high-performing team that supports advanced analytics and ML Ops.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Experience in data platform and DataOps
- •Background in data engineering and design
- •Understanding of data integration and APIs
- •Grasp of data quality and reliability
- •Experience designing enriched data layers
- •Knowledge of data governance and security
- •Experience with data platform observability
- •Ability to lead and grow teams
- •Strong communication and stakeholder management
- •Comfort operating in ambiguous environments
- •Experience defining data operating models
Tasks
- •Lead and scale a data engineering team
- •Provide hands-on technical leadership
- •Define the data warehousing strategy and technology stack
- •Architect integrations with operational systems and third-party tools
- •Establish standards for data ingestion and enrichment
- •Ensure reliability and fault tolerance across data pipelines
- •Design foundational data layers for analytics and reporting
- •Optimize warehouse schemas for performance and cost efficiency
- •Oversee data platform governance and access control
- •Implement observability for pipelines and data quality
- •Balance strategic priorities with operational excellence
Tools & Technologies
Languages
English – Business Fluent
Benefits
Informal Culture
- •Positive, vibrant and inspiring environment
Diverse Work
- •Cross-department projects
Flexible Working
- •Flexible working hours
- •Hybrid working
Workation & Sabbatical
- •Workcations
Team Events
- •Regular team events
Additional Allowances
- •Personal development budget
Learning & Development
- •Job-related language courses
About the Company
Usercentrics GmbH
Industry
IT
Description
Usercentrics is a global leader in data privacy and privacy-led marketing solutions, empowering a thriving digital ecosystem.
- Apaleo
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Senior Manager – Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - yoummday
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, München, Halle (Saale)