Lead BI Engineer
SKILLS
FULL DESCRIPTION
Lead BI Engineer
[Employer hidden — sign up to reveal] - London (SE1) - Hybrid - Full-time - Mid-Senior level
About the Role
An exciting hybrid working opportunity has arisen for a talented and driven Lead BI Engineer based in our YourParkingSpace business in London (SE1). As a Lead BI Engineer, you'll play a critical role in shaping and driving the data strategy that powers our analytics, products, and commercial decision-making.
How to make an impact
- Design, build, and maintain end-to-end data pipelines, including ingestion, transformation, and delivery of data to analytics and reporting layers.
- Own and improve existing data pipelines, ensuring high reliability, performance, and scalability.
- Set up new pipelines for internal and external data sources, selecting appropriate tools and patterns.
- Monitor data quality, accuracy, and pipeline health, proactively identifying and resolving issues to ensure high data trust and uptime.
- Implement best practices for BI engineering, including testing, documentation, version control, and observability.
- Continuously improve data architecture and workflows to support growing data volumes and evolving business needs.
- Partner with commercial, product, and operational stakeholders to understand their data needs, translating business questions into well-scoped BI engineering work.
- Help shape and prioritise the BI engineering backlog, balancing technical improvements with high-impact business requests.
- Define and communicate the data scope for new initiatives, providing clear assessments of feasibility, effort, and expected value.
Your background
- 5+ years’ experience in a BI / Data engineering role, with at least 2 years operating in a lead or senior capacity.
- Strong Python skills, with experience building ELT/ETL pipelines.
- Strong SQL skills, with experience building and optimizing complex transformations.
- Experience developing data pipelines using modern data stack tools (e.g. ELT/ETL frameworks, cloud data warehouses, orchestration tools).
- A Degree in Computer Science, Engineering, Mathematics, Statistics, Economics or another quantitative field (or equivalent work experience).
- Solid understanding of data modelling concepts and analytics-ready schemas.
- Demonstrated experience managing relationships with business stakeholders.
- Commercially minded: you understand how data supports revenue, operations, and strategic goals.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
About [Employer hidden — sign up to reveal]
[Employer hidden — sign up to reveal], including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. [Employer hidden — sign up to reveal] delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data-driven traffic reduction and support for reinvestment in public transport and green space. It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone.