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Senior Data Engineer(m/w/x)
Architecting and scaling secure, high-performance data infrastructure on AWS. 4+ years SQL and Python experience required. 30 days remote work allowance, up to 33 days annual vacation.
Requirements
- Hands-on experience with AWS, Snowflake, Airflow, and dbt
- Practical knowledge of AWS IAM, RBAC, and cloud security
- At least 4 years experience in SQL for data modeling and transformation
- At least 4 years experience in Python for pipeline orchestration and API integrations
- Understanding of data warehousing, ETL/ELT paradigms, and data modeling
- Understanding of data security, compliance standards (GDPR/HIPAA), and governance
- At least 4 years of experience building, testing, and maintaining data pipelines
- Experience with automated testing for data pipelines
- Experience with version control (Git) and deployment workflows
- Strong analytical skills for translating business requirements to technical solutions
- Ability to collaborate with non-technical stakeholders
- Previous experience building immutable data stores
- Previous experience handling complex internationalization/multi-source data ingestion
Tasks
- Architect and scale secure, high-performance data infrastructure
- Build and maintain robust data pipelines
- Optimize system reliability and data flow
- Design and deploy scalable data models
- Maintain efficient data models for long-term needs
- Administer core data storage and processing ecosystem
- Optimize AWS, Snowflake, Apache Airflow, and dbt
- Ensure seamless data access for cross-functional teams
- Support data manipulation and analysis efforts
- Transform raw data into presentation-ready formats
- Facilitate creation of business-critical reports and dashboards
- Implement stringent data security measures
- Enforce data privacy regulations
- Adhere to internal compliance standards
Work Experience
- 4 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Snowflake
- Airflow
- dbt
- SQL
- Python
- Git
Benefits
Healthcare & Fitness
- Additional health insurance coverage
- Subsidy for UrbanSportsClub membership
Flexible Working
- 30 days of remote work allowance
More Vacation Days
- Up to 33 days annual vacation allowance
Additional Allowances
- 70 EUR monthly cashback
- Self-development days allowance
Learning & Development
- 500 EUR yearly personal learning and development budget
Team Events
- Team events
- Company events
Bonuses & Incentives
- Referral bonus
Corporate Discounts
- Corporate benefits
Other Benefits
- Humanoo for Humanoos
Mental Health Support
- Employee Assistance Programme (EAP)
- Home
- Jobs in Germany
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- Home
- Jobs in Germany
- Senior Data EngineerSenior Data Engineer at TELUS Health
Senior Data Engineer(m/w/x)
Architecting and scaling secure, high-performance data infrastructure on AWS. 4+ years SQL and Python experience required. 30 days remote work allowance, up to 33 days annual vacation.
Requirements
- Hands-on experience with AWS, Snowflake, Airflow, and dbt
- Practical knowledge of AWS IAM, RBAC, and cloud security
- At least 4 years experience in SQL for data modeling and transformation
- At least 4 years experience in Python for pipeline orchestration and API integrations
- Understanding of data warehousing, ETL/ELT paradigms, and data modeling
- Understanding of data security, compliance standards (GDPR/HIPAA), and governance
- At least 4 years of experience building, testing, and maintaining data pipelines
- Experience with automated testing for data pipelines
- Experience with version control (Git) and deployment workflows
- Strong analytical skills for translating business requirements to technical solutions
- Ability to collaborate with non-technical stakeholders
- Previous experience building immutable data stores
- Previous experience handling complex internationalization/multi-source data ingestion
Tasks
- Architect and scale secure, high-performance data infrastructure
- Build and maintain robust data pipelines
- Optimize system reliability and data flow
- Design and deploy scalable data models
- Maintain efficient data models for long-term needs
- Administer core data storage and processing ecosystem
- Optimize AWS, Snowflake, Apache Airflow, and dbt
- Ensure seamless data access for cross-functional teams
- Support data manipulation and analysis efforts
- Transform raw data into presentation-ready formats
- Facilitate creation of business-critical reports and dashboards
- Implement stringent data security measures
- Enforce data privacy regulations
- Adhere to internal compliance standards
Work Experience
- 4 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Snowflake
- Airflow
- dbt
- SQL
- Python
- Git
Benefits
Healthcare & Fitness
- Additional health insurance coverage
- Subsidy for UrbanSportsClub membership
Flexible Working
- 30 days of remote work allowance
More Vacation Days
- Up to 33 days annual vacation allowance
Additional Allowances
- 70 EUR monthly cashback
- Self-development days allowance
Learning & Development
- 500 EUR yearly personal learning and development budget
Team Events
- Team events
- Company events
Bonuses & Incentives
- Referral bonus
Corporate Discounts
- Corporate benefits
Other Benefits
- Humanoo for Humanoos
Mental Health Support
- Employee Assistance Programme (EAP)
About the Company
TELUS Health
Industry
Healthcare
Description
TELUS Health is a global-leading health and well-being provider, improving health outcomes for consumers, patients, and healthcare professionals.
Not a perfect match?
- 4flow SE
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Senior Data Engineer - Warehouse(m/w/x)
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