Data Engineer / Scientist (M / F)

Foyer; Konz; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading international health insurance provider in Germany is seeking a skilled Data Engineer / Scientist to enhance data analysis and operational efficiencies in the finance and insurance sectors. The ideal candidate holds a Master's degree and has proven experience in data roles with strong programming and analytical skills. This position offers a flexible work environment with various benefits including health insurance, gym access, and opportunities for homeworking.

Leistungen

Flexible working hours

Homeworking possibilities

Company restaurant

Gym with trainer

Hospitalization and group insurance

Concierge service

Qualifikationen

• Proven experience in finance or insurance industry in a data role.
• Fluent in English, additional languages are a plus.

Aufgaben

• Design, enhance, and maintain ETL pipelines.
• Analyze structured and unstructured data to identify trends.
• Collaborate with actuarial, finance, and underwriting teams.
• Develop and maintain dashboards and reporting tools.
• Ensure compliance with data governance and regulations.
• Communicate findings clearly to stakeholders.

Kenntnisse

SQL

SAS

Data visualization tools

Financial metrics understanding

ETL processes

MS Excel including VBA

Ausbildung

Master’s degree or higher in Data Science, Statistics, Mathematics, Finance, Actuarial Science

Tools

SAS VA

Power BI

Jobbeschreibung

Foyer Global Health is the international health insurance brand of Foyer Group, Luxembourg’s leading insurance company. We provide first-class health coverage to globally mobile individuals and are part of a growing, innovative environment with a strong international focus.

Goal

We are looking for a Data Engineer / Scientist with strong technical and analytical skills as well as domain expertise in finance and insurance to join our team. You will play a key role in leveraging data to improve risk assessment, pricing strategies, fraud detection, customer segmentation, and operational efficiency. This role requires a deep understanding of financial modeling, insurance products, and regulatory requirements.

Responsibilities

• 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.

Profile

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

Proven experience 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).

Perfect knowledge and utilization of MS Office, especially MS Excel including VBA.

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

What we offer

• A multicultural, learning and innovative work environment,
• Flexible working hours,
• The benefits of a large group with the flexibility of an SME.
• The possibility of homeworking
• A company restaurant at preferential rates,
• A gym with a trainer,
• Hospitalization and group insurance
• Concierge service