Data Engineer

Mission

Design, enhance, and maintain ETL pipelines across the full data lifecycle

Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights relevant to financial and insurance operations.

Collaborate with actuarial, finance, and underwriting teams to enhance data models and data landscape.

Develop and maintain dashboards and reporting tools to support decision-making across departments.

Ensure compliance with data governance, privacy regulations, and industry standards.

Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

PROFIL

Master’s degree or higher in Data Science, Statistics, Mathematics, Finance, Actuarial Science, or a related field.

Proven experience (min 5 years) in the finance or insurance industry, preferably in a data science or data engineering role

Strong programming skills in SQL, SAS or similar languages

Solid understanding of data architecture, data warehousing solutions, ETL processes, business intelligence

Experience with data visualization tools (e.g. SAS VA, Power BI).

Solid understanding of financial metrics, insurance products, and regulatory frameworks (e.g., Solvency II).

You are fluent in English, additional foreign languages (e.g. French, German) are considered an asset.

Experience with actuarial modeling or working alongside actuarial teams.

Experience in deploying models into production environments.

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