Overview
Are you passionate about turning complex data into powerful insights and innovative solutions? We're looking for an Analytical Engineer to join a growing Data & AI function and play a pivotal role in shaping the future of a modern data platform.
You'll work alongside Data & AI Engineers, Data Scientists, Analysts, Software Engineers 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 (including GenAI use cases), your work will directly influence how data is used to drive smarter decisions and improved customer outcomes.
This is a great opportunity for someone who thrives in a collaborative, agile environment and enjoys building scalable, high-performance data products using modern cloud technologies.
Main Responsibilities
- Design, build and maintain scalable data products within a modern, enterprise data platform
- Develop and optimise data pipelines, ensuring high-quality, reliable, accessible datasets for analytics and AI use cases
- Collaborate with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications
- Integrate and transform data from multiple sources, ensuring adherence to data quality, governance, and technical standards
- Contribute to continuous improvement of analytics engineering processes, tools, and best practices across the wider data community
Skills & Experience Required
- 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 strong understanding of ETL/ELT and data transformation
- Proven end-to-end data modelling experience, including performance optimisation using tools such as dbt and distributed processing frameworks like Spark SQL
- Experience with CI/CD, version control (e.g. Git, Jenkins) and orchestration tools such as Airflow
- Collaborative mindset, strong stakeholder skills, and a passion for building robust, scalable data platforms
Benefits (Summary)
A broad benefits package is offered, typically including:
- Flexible working within the UK (role-dependent), plus options for part-time/job-share
- Enhanced annual leave (including bank holidays) with buy/sell options
- Health & wellbeing benefits (e.g., dental / cash plan options, screenings, mental health support, wellbeing initiatives)
- Financial benefits (bonus schemes, pension, savings/loan options, and employee discounts)
- Family-friendly policies (enhanced parental leave and return-to-work support)
- Lifestyle perks (tech discounts, travel schemes such as cycle-to-work / car schemes, breakdown cover, sports & social events)
