Staff Data Engineer at Headspace building privacy - first data platforms for mental health support. Leading data engineering strategies and mentoring team members to enhance data - driven decision making.
About the role
- Data Engineer designing and implementing end-to-end data processes, leveraging cloud-based infrastructures. Join Capgemini to work on sustainable and inclusive technology solutions.
Responsibilities
- Design and implement end‑to‑end data processes, including ADF Pipelines and Databricks workflows
- Responsible for developing and versioning data models across both transactional and data warehouse environments
- Working with cloud‑based data infrastructures on Azure, ensuring scalable and secure data solutions
- Support the development and execution of schema and data migrations across multiple systems
- Optimize ETL processes to enhance performance, reliability, and operational efficiency
Requirements
- 5+ years of experience
- Design applications and technical solutions
- Strong knowledge of data modeling concepts and techniques for both data warehouse and transactional systems
- Hands-on experience with Databricks, Delta Lake, Python, PowerShell, MS SQL Server, and T-SQL
- Good working knowledge of the Azure data engineering stack, including Azure Data Factory, Azure Data Lake, and Cosmos DB
- Experienced in DevOps practices and in testing, operating, and optimizing complex data flows
- Experience working with Power BI (plus)
Benefits
- Flexibility enables a better work-life balance
- Local programs that promote people growth, reskill and new skills development (Career Acceleration Programs)
- Empowering environment with autonomy and peers' relationships among the top scores of Monthly Employees' feedback
- Attractive compensation package and benefits such as Health and Life insurance
- Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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