Analytical Engineer

We are recruiting for an Analytical Engineer on behalf of one of the UK's most recognised and celebrated personal lines insurers.

The successful candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, work will directly influence how we harness data to drive smarter decisions and better customer outcomes.

This is a fantastic opportunity for someone who thrives in a collaborative, agile environment and is excited by the challenge of building scalable, high-performance data products using modern cloud technologies.

Key Responsibilities

• Designing, building and maintaining scalable data products.
  
• Developing and optimising data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases.
  
• Collaborating with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications.
  
• Integrating and transforming data from multiple sources, ensuring adherence to data quality, governance and technical standards.
  
• Contributing to the continuous improvement of analytics engineering processes, tools and best practices across the wider data community.

Key Requirements

• Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments.
  
• Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation.
  
• Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL.
  
• Experience with CI / CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow.
  
• A collaborative mindset with excellent interpersonal skills, and a passion for building robust, scalable data platforms.

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