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Job Description
We are delighted to be working with a global speciality Insurance firm that are looking to expand there Pricing Data engineering team with an experienced Data engineer.
Responsibilities:
- Build and maintain data pipelines in a Spark-based platform to support the Pricing function.
- Develop solutions that enhance Global Pricing’s data-driven approach, leveraging internal/external data and optimising fuzzy merge processes.
- Collaborate with Data Engineers, Pricing Actuaries, and Modellers to create innovative predictive pricing solutions.
- Gain expertise in the company’s IT landscape, data systems, and infrastructure.
- Ensure solutions follow Data Engineering best practices and participate in code reviews.
- Foster a collaborative, results-oriented team culture.
- Assist in developing reporting dashboards and applications as needed.
Experience:
- At least 4 years' experience with Python, SQL and/or PySpark for data solutions, ideally in insurance.
- BSc/MSc in a numerical field, preferably Computer Science or Data Engineering, or equivalent experience.
- Proven expertise in ETL development, integrating multiple data sources into a production warehouse.
- Strong skills in analysing, debugging, and solving complex problems.
- Demonstrated ability to take ownership of personal learning and development.