The AI Job Search Engine
Senior Data Engineer(m/w/x)
Description
You design and optimize data systems, process complex datasets, and enable machine learning. In this role, you support customers on their data journey and collaborate with an agile team to implement new tools and techniques.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Team player
- •Attention to detail in documentation
- •Decisions based on metrics
- •Structured mindset and quality benchmark
- •Openness to new technologies
- •Minimum 5 years experience as Data Engineer
- •Minimum 3 years experience in Python or Scala and SQL
- •Bachelor's in computer science or related field
- •Experience in semantic modelling of data landscapes
- •Understanding of structured and unstructured data stores
- •Ability to structure data pipelines
- •Comfortable with analytics processing engines
- •Experience with various storage formats
- •Fluent English (maybe a bit German)
- •ML Engineering & MLOps experience
- •Experience with cloud technologies
- •Experience building real-time data pipelines
- •Familiarity with CI/CD for data pipelines
Education
Work Experience
5 years
Tasks
- •Design and maintain data architecture.
- •Develop and optimize data ingestion processes.
- •Analyze and process large, complex datasets.
- •Enable training and execution of machine learning models.
- •Build real-time data pipelines.
- •Assist customers in becoming cloud-native and data-driven.
- •Facilitate active knowledge transfer within the team.
- •Contribute to the introduction of new tools and methodologies.
- •Collaborate in an agile, cross-functional team.
Tools & Technologies
Languages
German – Basic
English – Business Fluent
Benefits
Public Transport Subsidies
- •Public transport ticket
Learning & Development
- •Access to industry conferences
Retirement Plans
- •Company pension scheme
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Senior Data Engineer(m/w/x)
The AI Job Search Engine
Description
You design and optimize data systems, process complex datasets, and enable machine learning. In this role, you support customers on their data journey and collaborate with an agile team to implement new tools and techniques.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Team player
- •Attention to detail in documentation
- •Decisions based on metrics
- •Structured mindset and quality benchmark
- •Openness to new technologies
- •Minimum 5 years experience as Data Engineer
- •Minimum 3 years experience in Python or Scala and SQL
- •Bachelor's in computer science or related field
- •Experience in semantic modelling of data landscapes
- •Understanding of structured and unstructured data stores
- •Ability to structure data pipelines
- •Comfortable with analytics processing engines
- •Experience with various storage formats
- •Fluent English (maybe a bit German)
- •ML Engineering & MLOps experience
- •Experience with cloud technologies
- •Experience building real-time data pipelines
- •Familiarity with CI/CD for data pipelines
Education
Work Experience
5 years
Tasks
- •Design and maintain data architecture.
- •Develop and optimize data ingestion processes.
- •Analyze and process large, complex datasets.
- •Enable training and execution of machine learning models.
- •Build real-time data pipelines.
- •Assist customers in becoming cloud-native and data-driven.
- •Facilitate active knowledge transfer within the team.
- •Contribute to the introduction of new tools and methodologies.
- •Collaborate in an agile, cross-functional team.
Tools & Technologies
Languages
German – Basic
English – Business Fluent
Benefits
Public Transport Subsidies
- •Public transport ticket
Learning & Development
- •Access to industry conferences
Retirement Plans
- •Company pension scheme
About the Company
MobiLab
Industry
IT
Description
MobiLab is committed to empowering employees to bring their creative mindset into action, guiding customers toward reaching their full data potential, and becoming Cloud-native organizations. The company focuses on engineering excellence and inclusivity, where individuals of all backgrounds feel welcomed and valued.
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