Senior Data & Analytics Engineer – Capital Modelling

About the role

Our opportunity Senior Data & Analytics Engineer – Capital Modelling Zurich is enhancing its data platform to support capital modelling, risk analytics, and finance reporting. As a Senior Data & Analytics Engineer in the Capital and Risk Development team, you will design, build and maintain robust data pipelines, data models and reporting layers that provide trusted information to actuarial, risk, investment management and finance teams.

Key responsibilities

• Collaborate with actuarial, risk, investment management, and finance colleagues to understand business needs and deliver practical solutions.
• Design and maintain data models and structures for capital, risk and market data.
• Build and operate data pipelines from source systems into our cloud data platform.
• Create analysis‑ready, business‑friendly datasets and semantic models for reporting and dashboards.
• Implement and maintain calculation logic for key capital and risk metrics.
• Contribute to data quality controls, reconciliations and documentation.
• Work with modern engineering practices (version control, code review, CI, structured environments) to enable safe and rapid change.
• Support continuous improvement of the data platform and share knowledge within the team.

Required profile

• Degree in Computer Science, Engineering, Mathematics, Statistics, Information Systems or a related field.
• Several years (typically 7+) in data engineering, analytics engineering or similar full‑time or part‑time roles.
• Strong SQL skills and experience with data modelling for analytics/reporting.
• Hands‑on experience with cloud data platforms (Azure, Databricks, Data Factory, Data Lake, or similar).
• Experience building and maintaining ETL/ELT pipelines.
• Good programming skills in Python, R, or similar languages.
• Proficient English, clear communication skills and a collaborative mindset; comfortable working with both technical and business stakeholders.
• Solution‑oriented, with a positive attitude toward change.

Required skills

• SQL
• Azure
• Databricks
• Data Factory
• Data Lake
• ETL
• ELT
• Python
• R

What we offer

• Starting base salary 3 800 EUR gross.
• Personal days off, concentrated work week, additional vacation, home office, extra days off for childbirth, sabbatical leave, workcation.
• Life insurance, compensation for salary loss during sick leave, 3rd pension pillar contribution, risk life insurance.
• Meal contribution, years of service bonus, wedding bonus, baby bonus.
• Edenred electronic cafeteria, public transport contribution, maternity leave benefits, office massages.
• Professional certifications, online education portals, extensive onboarding program, strengths‑based culture (GALLUP).