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.