Data Engineer (with Snowflake/Databricks)
Summary
The Data Engineer will build and optimize scalable data processing pipelines to support the digital transformation of financial sector clients. The role involves collaborating with cross-functional teams to design data architectures while ensuring security, compliance, and performance.
About the project
Versatility is the keyword when it comes to what we do in IT. Data Competency is one of our initiatives to support digital transformation of financial sector, enabling our customers to become truly data-driven companies. Our mission is to ensure capabilities to address financial sector data-related needs.
Your responsibilities
- Build scalable data processing pipelines.
- Identify potential improvements and enhancements for current data processing solutions.
- Advise on the utilization of appropriate tools and technologies.
- Research new tools and solutions and advise on their use.
- Recommend potential enhancements to the existing data architecture.
- Monitor performance and optimize data processing flows.
- Collaborate with Business Analysts, Subject Matter Experts, and Tech Leads to ensure thorough consideration of business requirements in both the design and subsequent development phases.
- Address crucial aspects such as data privacy, security, regulatory compliance, data integrity, and availability.
- Work directly with our clients as an active member of an agile project team.
Optional
- Previous working experience in Insurance industry.
- Practical experience with DWH data modeling.
- Familiarity with one or more Cloud data stacks (AWS, Azure, GCP).
- Experience in pipeline orchestration tools (e.g. Airflow).
- Familiarity with containerization, CI/CD, version control.
- Fluency in French or German.