Senior Data Engineer (w/m/d)

Hello there, people at TELUS Health are happy to greet you

TELUS Health is empowering every person to live their healthiest life. Guided by our vision to create a healthier future, we are leveraging the power of our cutting-edge technology and focusing on the uniqueness of each individual to create the future of health. As a leading global health and well-being provider – encompassing physical, mental and financial health – TELUS Health is improving health outcomes for consumers, patients, healthcare professionals, employers and employees.

TELUS Health supports the total health and well-being of over 35 million lives worldwide with our clinical expertise, global presence and digital well-being platform offered through our Integrated Health Solutions. We empower healthier, happier, and more productive employees by combining our award-winning Employee Assistance Program with proactive wellness solutions in a digital ecosystem that helps them prevent and manage issues in family, health, life, money, and work.

We're seeking a Senior Data Engineer (w/m/d) to join our Engineering teamin Berlin.

This is a hybrid position, requiring 2 days in the office.

Start date - as soon as possible Your mission in a nutshell:

Your mission is to architect and scale the secure, high-performance data infrastructure that powers Humanoo’s digital wellness platform, transforming complex global data streams into the insights and rewards that drive our ultimate goal: making people healthier.

How you will spend your time:

• Data System Management: Build, maintain, and optimize robust data pipelines, ensuring system reliability, high performance, and smooth, uninterrupted data flow.
• Data Architecture & Modeling: Design, deploy, and maintain scalable and efficient data models that support the company's long-term analytical needs.
• Tool Oversight: Administer and optimize our core data storage, processing, and orchestration ecosystem, specifically utilizing AWS, Snowflake, Apache Airflow, and dbt.
• Data Accessibility: Democratize data across the organization by ensuring seamless access for cross-functional team members, actively supporting their data manipulation and analysis efforts.
• Reporting Support: Transform and structure raw data into presentation-ready formats to facilitate the creation of business-critical reports, dashboards, and visualizations.
• Security & Compliance: Implement and enforce stringent data security measures, ensuring strict adherence to data privacy regulations and internal compliance standards.

What you should bring to the table:

Technical Expertise:

• Core Stack: Proven, hands-on experience building and maintaining a modern data stack environment specifically utilizing AWS, Snowflake, Airflow, and dbt.
• AWS Security & IAM: Deep, practical knowledge of AWS Identity and Access Management (IAM), role-based access control (RBAC), and enforcing cloud security best practices across data infrastructure.
• Languages: At least 4 years experience in SQL (for complex data modeling and transformation in Snowflake/dbt) and Python (for pipeline orchestration in Airflow and API integrations).
• Architecture: Deep understanding of data warehousing concepts, ETL/ELT paradigms, and efficient relational/dimensional data modeling.
• Security & Governance: Solid understanding of data security best practices, compliance standards (e.g., GDPR/HIPAA), and data governance principles.

Experience & Skills:

• Professional Experience: At least 4 years of proven, hands-on experience building, testing, and maintaining scalable data pipelines in a production environment.
• Testing & CI/CD: Experience implementing automated testing for data pipelines and working with version control (Git) and deployment workflows.
• Problem Solving: Strong analytical skills with the ability to tr