Senior Data Engineer

We are looking for someone who is willing to get hands on with the company’s data and to develop innovative and structured solutions to bring it together in a way that maximises its potential. This person will need to collaborate internationally with various stakeholders, both within the Pricing Function and across other Allianz Commercial functions.

Some of your specific responsibilities could include:

• You will develop and maintain data pipelines within our Spark-based data platform to enhance the capabilities of the Pricing function

• You will drive the design and implementation of solutions that contribute to Global Pricings data-driven pricing approach using internal and external data, and optimising fuzzy merge processes to release the intrinsic value of data

• You will collaborate with Data Engineers, Pricing Actuaries and Predictive Modellers to deliver innovative data solutions for data-driven pricing

• You will develop knowledge of the company’s IT landscape, data and data systems

• You will implement solutions that adhere to the Data Engineering teams’ best practices for continuous improvement and participate in code reviews

• You will act as an expert to support the wider Pricing team on data processing and coding best practices

• You will contribute to a culture of results-driven collaboration, support and respect

• You will support the development of reporting dashboard and application development where necessary

What You’ll Bring to the Role

Essential Skills & Experience:

• You have minimum 8 years’ experience using SQL and/or PySpark for data-focused solutions, ideally within an insurance environment

• You have significant experience in SQL and strong experience using PySpark to build data pipelines

• You have a degree at BSc or MSc level in a Numerical field, preferably with a strong focus on Computer Science or Data Engineering, or qualified by experience

• You have experience in data pipeline/ETL (Extract Transform Load) development, cleaning and bringing together multiple sources into a single production warehouse

• You have experience in analysing, debugging and solving highly complex problems

• You have experience taking ownership of own learning and development

• You have knowledge of Engineering principles such as automated testing, code abstraction, and performance optimization

• You have experience using cloud-based solutions (e.g Palantir Foundry, AWS, Azure, GCP, Snowflake)

• You have knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams

• You should be able to integrate AI-driven insights into your work to optimize outcomes and support broader organizational goals

Nice-to-have skills (that can also be learned on the job!):

• You have experience in one or more other programming languages (e.g. Python, Java, C#)

• You have some understanding of Machine Learning and predictive modelling techniques

• You have some experience producing data visualisations for stakeholder