Lead Data Engineer overseeing engineers and advancing the data platform at American Family Insurance. Creating tools and infrastructure to empower teams across the company.
About the role
- Data Engineer in the FCA's Market Oversight Directorate developing and maintaining data ecosystems. Collaborating to create analytical tools and improve market monitoring capabilities for fair finance.
Responsibilities
- Collaborate with a supportive team to develop and maintain MO’s data ecosystem, ensuring information flows seamlessly to empower meaningful analytical solutions that strengthen market oversight
- Create innovative analytical tools that enhance market monitoring capabilities, helping safeguard systemically important asset classes and contributing to fair and transparent markets
- Work closely with surveillance analysts to improve platforms and processes, fostering shared learning and building solutions that make detecting market abuse more effective and insightful
- Apply data engineering techniques to uncover behavioural patterns among market participants, enabling the organisation to make informed decisions that protect consumers and maintain integrity
- Engage flexibly across the directorate to support collective objectives, embracing opportunities to learn, share expertise and influence how data science shapes the FCA’s future approach
- Grow your skills through tailored training and collaboration with market experts, gaining confidence and knowledge while contributing to investigations that uphold trust in financial markets
Requirements
- Proven experience of financial markets and products, including Equities, Fixed Income, Currencies and Commodities
- Prior experience applying and deploying data engineering solutions within Financial Services, particularly with trading and market data
- Proven experience with AWS services, such as Lambdas, Step Functions, Events and Glue
- Highly organised with experience in coordinating multiple workstreams, prioritising and progressing issues effectively and on time
- Willing to learn and apply new tools and techniques quickly, demonstrating adaptability and curiosity
- Skilled at working and providing leadership within diverse teams, bringing together technical and non-technical expertise to achieve shared goals
- Able to present complex technical information and conclusions through clear and logical narratives that are easy to understand
- Strong critical thinking and independent learning abilities, with confidence in self-teaching and problem-solving
- Experienced in big-data technologies on an AWS tech stack and proficient with data visualisation and dashboard tools, enabling clear communication of insights
Benefits
- 25 days annual leave plus bank holidays
- Hybrid model with up to 60% remote work
- Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
- Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
- 35 hours of paid volunteering annually
- A flexible benefits scheme designed around your lifestyle
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