Azure Data Engineer at Zurich Canada

Bratislava, Region of Bratislava, Slovakia -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

2330.0

Posted On

13 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Relational Data Modelling, Python, PySpark, Pandas, NumPy, Databricks, Delta Lake, Lakehouse Architecture, ETL/ELT Pipelines, Git, CI/CD, DevOps, Azure Data Factory, Azure Storage, Azure SQL

Industry

Insurance

Description

Our opportunity Azure Data EngineerAre you a motivated, hands-on, and innovative person interested in working for one of the largest global insurers? Are you passionate about designing scalable data architectures and building robust pipelines that power critical risk decisions? Then this role is definitely something for you. We are looking for a Data Engineer to join the newly formed Risk Accumulation Management Platform (RAMP) team The position is planned as a 1‑year assignment for now. Your roleAs an Azure Data Engineer, your main responsibilities will involve: Design and implement the target data model for risk accumulation, covering both location-based catastrophe exposure and non-location-based lines, including full exposure history. Architect and develop data ingestion ETL pipelines to migrate data from legacy accumulation data sources into a modern Databricks based platform. Integrate underwriting pipeline data (submissions and quotations) into accumulation reports, ensuring current and in-progress risk views are available to stakeholders. Build and optimize long-running batch jobs for data transformation, aggregation, and snapshot management using Databricks and Delta Lake. Establish data quality frameworks, automated validation checks, and monitoring for all ingested and transformed datasets. Collaborate with and provide backup to the Data Engineer and API Developer on the team, ensuring no key-person dependencies exist across the platform. Work in close collaboration with the wider technology and business teams to deliver an excellent, reliable data platform. Your Skills and Experience As an Azure Data Engineer, your skills and experience will ideally include: Strong experience with SQL and relational data modelling, including designing schemas for analytical and reporting workloads. Proficiency in Python (preferably with PySpark, Pandas, and NumPy). Hands-on experience with Databricks (Delta Lake, Lakehouse architecture, workflows/job orchestration) or similar platforms. Demonstrated experience building ETL/ELT pipelines at scale, including data ingestion, transformation, and quality assurance. Familiarity with software development best practices (Git, CI/CD, DevOps). Strong problem-solving skills and a structured approach to data architecture. Excellent written and spoken English. Nice to Have Experience with Microsoft Azure data services (Azure Data Factory, Azure Storage, Azure SQL). Knowledge of insurance data structures, particularly catastrophe exposure, accumulation reporting, or reinsurance. Experience with Databricks Feature Serving or Model Serving technologies. Familiarity with data governance and data cataloguing practices. Prior work experience in insurance or financial services. Excellent communication skills and comfort presenting technical concepts to non-technical stakeholders. We offer Compensation for roles at Zurich depends on a wide array of factors including but not limited to the specific role, skill set, level of experience, and subject to applicable law. Zurich thus provides a range of compensation aligned to internal job architecture and market benchmarks to ensure fair and consistent pay for comparable roles. The starting base salary range for this position is 2330 Eur. Working time benefits Personal days off, Concentrated work week, Additional vacation, Home office, Extra days off at occasion of childbirth, Sabbatical leave, Workation Monetary benefits Life insurance from Zurich Austria, Compensation for salary loss during sick leave, 3rd pension pillar contribution, Risk Life Insurance, Meal contribution on top of the legally required minimum, Years of service bonus, Wedding bonus, Baby bonus Other benefits Electronic cafeteria, Maternity leave benefits, Massages in the office Learning/Development Professional Certifications, Online Education Portals, Extensive Onboarding program, Strengths based culture (GALLUP) Location: Bratislava Schedule: full-time Form: hybrid - occasional home office possible About us At our company, we recognize the importance of fostering an open-minded, safe and inclusive environment for everyone. We stand with diversity and respect different backgrounds and lifestyles. That's why we've implemented numerous initiatives to ensure our employees feel comfortable, accepted, and respected at all times.

Responsibilities

Design and implement target data models and ETL pipelines for risk accumulation using Databricks and Delta Lake. Establish data quality frameworks and collaborate with technical teams to deliver a reliable data platform.