The AI Job Search Engine
Data Engineer(m/w/x)
Description
In this role, you will drive the data evolution by building robust pipelines on GCP and collaborating with experts to turn complex healthcare data into impactful patient insights.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3+ years experience in Data Engineering or Data Warehousing
- •Hands-on experience with cloud architecture and technologies
- •Experience implementing automated solutions and coding practices
- •Strong knowledge of SQL, Python, dbt and Git
- •Proven track record with IaC tools and CI/CD
Work Experience
3 years
Tasks
- •Design and deploy data pipelines
- •Optimize structured and unstructured data sources
- •Utilize latest GCP data platform technologies
- •Implement innovative Data Mesh architecture
- •Craft automated data observability solutions
- •Monitor and ensure data process reliability
- •Research and implement prototypes and PoCs
- •Develop and execute new technical ideas
- •Collaborate with cross-functional agile teams
- •Enrich the company's data product ecosystem
Tools & Technologies
Languages
English – Business Fluent
Benefits
Additional Allowances
- •150€ monthly subsidiary
- •Home internet subsidy
Public Transport Subsidies
- •BahnCard or public transport
Childcare
- •Kindergarden subsidy
More Vacation Days
- •Paid time-off
Workation & Sabbatical
- •Workation options
Retirement Plans
- •50% company pension subsidy
Flexible Working
- •Hybrid-work policy
Team Events
- •Company off-sites
- •Company kick-offs
Snacks & Drinks
- •Daily caffeine supply
Free or Subsidized Food
- •Daily vitamin supply
Modern Equipment
- •State-of-the-art devices
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Manager Data Engineering(m/w/x)
Full-timeWith HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
Data Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will drive the data evolution by building robust pipelines on GCP and collaborating with experts to turn complex healthcare data into impactful patient insights.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3+ years experience in Data Engineering or Data Warehousing
- •Hands-on experience with cloud architecture and technologies
- •Experience implementing automated solutions and coding practices
- •Strong knowledge of SQL, Python, dbt and Git
- •Proven track record with IaC tools and CI/CD
Work Experience
3 years
Tasks
- •Design and deploy data pipelines
- •Optimize structured and unstructured data sources
- •Utilize latest GCP data platform technologies
- •Implement innovative Data Mesh architecture
- •Craft automated data observability solutions
- •Monitor and ensure data process reliability
- •Research and implement prototypes and PoCs
- •Develop and execute new technical ideas
- •Collaborate with cross-functional agile teams
- •Enrich the company's data product ecosystem
Tools & Technologies
Languages
English – Business Fluent
Benefits
Additional Allowances
- •150€ monthly subsidiary
- •Home internet subsidy
Public Transport Subsidies
- •BahnCard or public transport
Childcare
- •Kindergarden subsidy
More Vacation Days
- •Paid time-off
Workation & Sabbatical
- •Workation options
Retirement Plans
- •50% company pension subsidy
Flexible Working
- •Hybrid-work policy
Team Events
- •Company off-sites
- •Company kick-offs
Snacks & Drinks
- •Daily caffeine supply
Free or Subsidized Food
- •Daily vitamin supply
Modern Equipment
- •State-of-the-art devices
About the Company
Temedica
Industry
Healthcare
Description
Temedica is a digital health company that turns real-world data into actionable insights, empowering life sciences companies to improve health outcomes.
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Manager Data Engineering(m/w/x)
Full-timeWith HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München