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Senior Data Engineer(m/w/x)
Description
As a Senior Data Engineer, you will take charge of optimizing ETL pipelines and maintaining a robust data infrastructure. Your work will ensure reliable data flows and empower the team with high-quality data marts, all while leveraging modern AI tools to boost productivity.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Startup mindset and ownership drive
- •Degree in Computer Science or related field
- •At least 5 years of experience in data engineering
- •Proven ability to build and orchestrate data pipelines
- •Proficiency in SQL and data warehouse software
- •Passion for clean, maintainable code and automation
- •Exposure to GCP and customer data platforms
- •Familiarity with Business Intelligence tools
- •Familiarity with Jupyter Notebooks and Firestore
- •Experience with eCommerce or B2C marketing data
Education
Work Experience
5 years
Tasks
- •Own and optimize ETL pipelines
- •Focus on the transformation layer
- •Maintain and scale data infrastructure
- •Ensure reliable and timely data flows
- •Deliver high-quality SQL-based data marts
- •Empower self-service BI for smarter decisions
- •Monitor and uphold data quality standards
- •Use modern AI tools to automate workflows
- •Enhance data productivity
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible work from anywhere
Informal Culture
- •Creative freedom
- •Team spirit
Career Advancement
- •Growth opportunities
- AivenFull-timeWith HomeofficeSeniorBerlin
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Senior Data Engineer(m/w/x)
The AI Job Search Engine
Description
As a Senior Data Engineer, you will take charge of optimizing ETL pipelines and maintaining a robust data infrastructure. Your work will ensure reliable data flows and empower the team with high-quality data marts, all while leveraging modern AI tools to boost productivity.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Startup mindset and ownership drive
- •Degree in Computer Science or related field
- •At least 5 years of experience in data engineering
- •Proven ability to build and orchestrate data pipelines
- •Proficiency in SQL and data warehouse software
- •Passion for clean, maintainable code and automation
- •Exposure to GCP and customer data platforms
- •Familiarity with Business Intelligence tools
- •Familiarity with Jupyter Notebooks and Firestore
- •Experience with eCommerce or B2C marketing data
Education
Work Experience
5 years
Tasks
- •Own and optimize ETL pipelines
- •Focus on the transformation layer
- •Maintain and scale data infrastructure
- •Ensure reliable and timely data flows
- •Deliver high-quality SQL-based data marts
- •Empower self-service BI for smarter decisions
- •Monitor and uphold data quality standards
- •Use modern AI tools to automate workflows
- •Enhance data productivity
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible work from anywhere
Informal Culture
- •Creative freedom
- •Team spirit
Career Advancement
- •Growth opportunities
About the Company
Dr. Ansay Ltd.
Industry
Healthcare
Description
The company is redefining healthcare with a data-driven, digital-first, and patient-centered platform.
- Aiven
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Full-timeWith HomeofficeSeniorBerlin - accantec information solutions AG
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHeidelberg, Hamburg, Frankfurt am Main, Köln, Berlin - Aroundhome
Senior Data Engineer - Modern Data Platform & AI(m/w/x)
Full-timeWith HomeofficeSeniorBerlin