Data Engineer / Scientist (M / F)

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

Zusammenfassung

A leading health insurance provider in Rheinland-Pfalz is looking for a Data Engineer / Scientist to improve risk assessment and fraud detection. You will design ETL pipelines, analyze data, and collaborate with finance teams. Ideal candidates have a Master’s in a relevant field and experience in the finance or insurance sector. The company offers flexible hours, a gym, and a multicultural work environment.

Leistungen

Flexible working hours

Access to a company restaurant at preferential rates

Gym with a trainer

Hospitalization and group insurance

Concierge service

Qualifikationen

• Proven experience in the finance or insurance industry.
• Experience in a data science or data engineering role.
• Solid understanding of data architecture and data warehousing solutions.

Aufgaben

• Design, enhance, and maintain ETL pipelines across the full data lifecycle.
• Analyze large volumes of structured and unstructured data to identify trends.
• Collaborate with teams to enhance data models and data landscape.

Kenntnisse

Data analysis

Programming in SQL

Knowledge of SAS

Financial modeling

Data visualization tools

Fluent English

Ausbildung

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

Tools

Power BI

MS Office, especially MS Excel including VBA

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