The AI Job Search Engine
Senior Data Engineer(m/w/x)
Description
As a Senior Data Engineer, you will design and build scalable data infrastructure, analyze large datasets for insights, and collaborate with teams to ensure data accessibility. This role is pivotal in driving data-driven decisions and innovations.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Seniority in data engineering
- •Degree in relevant field
- •Strong problem-solving skills
- •Proven experience in designing data pipelines
- •Highly skilled in Python and SQL
- •Hands-on experience with cloud platforms
- •Familiarity with orchestration tools
- •Effectiveness in collaborative team environment
- •Excellent written and spoken English skills
Education
Work Experience
2 - 5 years
Tasks
- •Build and maintain scalable ETL/ELT pipelines
- •Develop and manage a clean data layer for BI tools
- •Analyze large datasets to uncover trends and anomalies
- •Collaborate with data scientists and analysts to ensure data accessibility
- •Architect and optimize data infrastructure for real-time and batch processing
- •Ensure data quality and access control through monitoring practices
- •Incorporate cutting-edge data engineering techniques
- •Lead data engineering best practices and mentor team members
Tools & Technologies
Languages
English – Business Fluent
Benefits
Job Security
- •Unlimited employment contract
Flexible Working
- •Flexible working hours
- •Home office policy
Additional Allowances
- •Daily meal allowance
Free or Subsidized Food
- •Weekly free team lunch
Snacks & Drinks
- •Well-stocked cereal bar
- •Complimentary drinks
Company Bike
- •Job bike program
Healthcare & Fitness
- •Access to premium sports and fitness facilities
Learning & Development
- •Professional development opportunities
- •German language learning opportunities
Corporate Discounts
- •Exclusive discounts on branded products
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Senior Data Engineer(m/w/x)
The AI Job Search Engine
Description
As a Senior Data Engineer, you will design and build scalable data infrastructure, analyze large datasets for insights, and collaborate with teams to ensure data accessibility. This role is pivotal in driving data-driven decisions and innovations.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Seniority in data engineering
- •Degree in relevant field
- •Strong problem-solving skills
- •Proven experience in designing data pipelines
- •Highly skilled in Python and SQL
- •Hands-on experience with cloud platforms
- •Familiarity with orchestration tools
- •Effectiveness in collaborative team environment
- •Excellent written and spoken English skills
Education
Work Experience
2 - 5 years
Tasks
- •Build and maintain scalable ETL/ELT pipelines
- •Develop and manage a clean data layer for BI tools
- •Analyze large datasets to uncover trends and anomalies
- •Collaborate with data scientists and analysts to ensure data accessibility
- •Architect and optimize data infrastructure for real-time and batch processing
- •Ensure data quality and access control through monitoring practices
- •Incorporate cutting-edge data engineering techniques
- •Lead data engineering best practices and mentor team members
Tools & Technologies
Languages
English – Business Fluent
Benefits
Job Security
- •Unlimited employment contract
Flexible Working
- •Flexible working hours
- •Home office policy
Additional Allowances
- •Daily meal allowance
Free or Subsidized Food
- •Weekly free team lunch
Snacks & Drinks
- •Well-stocked cereal bar
- •Complimentary drinks
Company Bike
- •Job bike program
Healthcare & Fitness
- •Access to premium sports and fitness facilities
Learning & Development
- •Professional development opportunities
- •German language learning opportunities
Corporate Discounts
- •Exclusive discounts on branded products
About the Company
Peter Park System GmbH
Industry
IT
Description
Das Unternehmen hilft, die Gestaltung von Parkräumen einfach und digital abzubilden und revolutioniert die täglichen Parkerfahrungen mit neuen digitalen Technologien.
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