Analytics Engineer, Data Platform on Azure

UNIQA Re AG; Zürich; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Professional growth

Modern office in Zurich

Zusammenfassung

UNIQA Re AG in Zurich is seeking a highly hands-on Analytics Engineer to design production-grade data foundations within a regulated reinsurance environment. You will own end-to-end data products—from ingestion and transformation to modelling, validation, and monitoring.

This role focuses on building a robust Azure Databricks Lakehouse, translating complex reinsurance logic into scalable data models, and collaborating with actuarial, underwriting, finance, risk, and IT teams to ensure data

Qualifikationen

• Hands-on analytics engineer with production-grade data foundations experience.
• Strong SQL and Python, with data modeling and data governance knowledge.
• Experience building ELT pipelines on Databricks / Lakehouse.
• Knowledge of CI/CD, observability, APIs and data integration patterns.

Aufgaben

• Design target data architecture and data models for Databricks Lakehouse.
• Translate complex reinsurance logic into scalable data models for reporting and regulatory use cases.
• Build and improve ELT pipelines with CI/CD in a production environment.
• Partner with IT, actuarial, underwriting, finance, risk and security teams.
• Ensure data quality, lineage, cataloging, and audit readiness.

Kenntnisse

Azure Databricks

SQL

Python

Data modeling

CI/CD

Data governance

APIs & data integrations

Observability

Tools

Databricks

Azure data stack

Unity Catalog

Delta Lake

Jobbeschreibung

UNIQA Re AG in Zurich is seeking a highly hands-on Analytics Engineer to design production-grade data foundations within a regulated reinsurance environment. You will own end-to-end data products—from ingestion and transformation to modelling, validation, and monitoring.

This role focuses on building a robust Azure Databricks Lakehouse, translating complex reinsurance logic into scalable data models, and collaborating with actuarial, underwriting, finance, risk, and IT teams to ensure data