Data Engineer

at  Zurich insurance

JOIN OUR TEAM AS A DATA ENGINEER!

We’re looking for a Data Scientist, Analyst or Engineer to join the new Zurich International Life Limited (ZILL) Data team as part of a dynamic, entrepreneurial group dedicated to driving change and innovation.
Are you a motivated, hands-on innovator eager to make an impact with one of the world’s largest insurance companies? Do you thrive on tackling complex business challenges? If so, we have an exciting opportunity for you!

YOUR SKILLS AND EXPERIENCE:

• Strong skills in SQL and R or Python together with experience with various database technologies and data visualisation tools (e.g. Power BI).
• Proven track record of successful project delivery.
• Familiarity with big data technologies and software development lifecycles, cloud platforms and data services.
• A respect for data governance within regulated environments.
• Excellent problem-solving and communication skills with an ability to communicate complex data concepts to non-technical stakeholders.
• Understanding of data modelling and architecture principles.
• Strong statistical and mathematical knowledge.
• Experience with Databricks using Microsoft Azure is a bonus.
• Experience in the insurance or finance industry is a plus.
• Familiarity with AI / machine learning frameworks would be an additional advantage.

WHAT YOU’LL DO:

• Solve high-impact business challenges supporting ZILL’s life insurance markets.
• Collaborate with a forward-thinking team to drive transformative business change.
• Further enhance your skills through engagement with internal and external analytics experts.

KEY RESPONSIBILITIES:

• Contribute to the ZILL Data Strategy and drive our data transformation.
• Collaborate with business teams to understand their data needs, ensuring access to data, and providing actionable insights to support decision-making.
• Ensure data quality, consistency, and reliability across systems.
• Optimise data systems for performance and scalability.
• Design, implement, and manage data storage solutions (e.g. databases, data lakes, data warehouses) and their data pipelines, ensuring efficient data collection and processing into big data platforms (e.g. Databricks).
• Develop engaging visualisations to effectively communicate data insights to business stakeholders.
• Maintain data models, Power BI reports, and dashboards, ensuring they meet user needs.
• Establish data quality checks and reports.
• Collaborate with teams to support and train data members and citizen data scientists.
• Explore and identify future technological opportunities for advancement.