• Analyze large volumes of sensor and time-series data from autonomous vehicle test fleets • Develop advanced SQL, Python, and PySpark queries to filter, transform, and aggregate datasets • Design and maintain ETL pipelines processing large-scale structured and semi-structured data • Identify and extract data suitable for AV simulation scenarios and ML training pipelines • Support the discovery of rare or complex driving situations (e.g. unusual traffic scenarios, hard braking events, edge cases) • Develop scripts and internal tools supporting data mining and analytics workflows • Collaborate with engineers working across the autonomous driving technology stack

• Design, develop, and deploy scalable ETL/ELT pipelines and APIs for ingestion and transformation. • Implement data modeling best practices for optimal accessibility, flexibility and query performance. • Implement data governance practices, including data security, privacy, and compliance, to ensure data integrity and regulatory compliance. • Work closely with cross-functional teams, including product managers, designers, and other engineers, to ensure seamless product development from concept to deployment. • Influence product and cross-functional teams to identify data opportunities to drive impact. • Stay updated with the latest industry trends and technologies, ensuring our tech stack remains modern and competitive. • Build monitor and alerts for data pipelines monitoring, identify and resolve performance issues, troubleshoot data-related problems in collaboration with other teams, and ensure data platform SLAs are met.

• Lead the handover from the external implementation partner • Become the primary internal expert and own the Microsoft Fabric BI platform • Ensure the platform is robust, secure, scalable, and well‑documented • Own and develop Fabric Data Factory pipelines and ingestion patterns • Build and maintain PySpark / Spark SQL notebooks • Implement validation, reconciliation, and anomaly‑detection checks • Design and maintain Semantic Models (measures, relationships, RLS, Direct Lake)

Role Description You will join one of our high-performing consultant teams, delivering cutting-edge solutions for our financial services clients. This is a hands-on role where your data analysis skills and financial acumen will be essential to supporting senior business experts. You will be moving beyond the limitations of standard tools like Excel to solve complex data challenges. Working directly with critical data in the reinsurance domain, performing data crunching & providing actionable insights that inform key decisions. Key Responsibilities - Perform complex data manipulation and analysis to support senior business experts and stakeholders. - Utilise Python and its data libraries to handle large datasets and automate analytical tasks. - Design and execute robust data mapping and analysis projects. - Work with our expert teams to understand client needs and translate them into effective data solutions. - Working in a fast paced start-up agile and high pressure environment. - DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL. - Databricks: Must have recent experience. - Domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data within the last 3 years. - Investment & Financial: Experience with investment-related projects or working in the reinsurance or life insurance domain. - SQL: Data manipulation and querying. - Python: Experience in libraries like Pandas and NumPy. - Communication: Excellent senior stakeholder, articulate, presenting & engagement skills. Requirements - Fully Remote - Outside IR35 - Long term contract - c£500/Day