Data Engineer – Databricks, Snowflake & Python

About the role

Join Capgemini's technology team to design and build data‑intensive applications that support global regulatory reporting. You will work on a front‑to‑back initiative to re‑platform key data streams, ensuring accurate, auditable outputs for finance and control functions.

Key responsibilities

• Consolidate data sourcing, integration and verification across control functions.
• Onboard and configure Axiom solution templates for regulatory reports (e.g., 14A, DFAST, SEC, Brazil DLO).
• Analyse platform hygiene and DevOps gaps, define and execute remediation plans.
• Implement and optimise business logic and data transformations using Scala and Spark, with a focus on testing and performance.
• Build and maintain Power BI dashboards, KPI reports and data‑quality reconciliations.
• Participate in the full software development lifecycle, including automated testing and shared library development.
• Drive standardisation and architecture discussions across the team.

Required profile

• Strong technical and problem‑solving abilities.
• Willingness to work across the full stack of applications.
• Understanding of development best practices and system architecture.
• Preferable experience in regulatory accounting, finance or control functions.

Required skills

• Azure cloud technologies (including Databricks)
• Snowflake
• Python
• Java
• SQL
• Scala
• Spark
• Power BI
• CICD pipelines
• DevOps practices

What we offer

• A collaborative global community that supports career growth.
• Opportunities to work with leading organisations on cutting‑edge technology.
• A focus on sustainability, inclusion and innovation.