Data Engineer

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.