oracle
Senior Analytics Engineer
Compare the Market
London, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
SQLDBTPythonGitCI/CD
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- Leading delivery across multiple complex data and analytics workstreams, helping shape strategy and roadmap direction in partnership with Staff Analytics Engineers and engineering leadership.
- Designing, building, and maintaining scalable analytics solutions using SQL, DBT, Python, and modern data platform technologies, ensuring reliability, performance, and long-term maintainability.
- Acting as a technical expert within the team, driving best practices across data modelling, testing, CI/CD, documentation, code review, and operational excellence.
- Partnering with Product, Analytics, Technology, and Data Platform teams to deliver trusted data products, executive-facing reporting, and commercial insights that drive better business decisions.
- Owning complex data incidents from identification through to root cause analysis, resolution, and prevention, while reducing delivery and operational risk across the wider function.
- Mentoring and developing engineers, delegating effectively, unblocking teams, and helping create an environment where engineers can grow and deliver independently.
- Advanced SQL expertise and strong hands-on experience with DBT, with recognised expertise in one or more analytics engineering domains.
- Strong Python or scripting experience, with the ability to build automation, frameworks, and scalable data solutions.
- Proven experience delivering complex analytics, reporting, and BI solutions from discovery through to adoption.
- Strong understanding of data modelling, testing, performance optimisation, data quality, and reliability engineering practices.
- Experience leading multiple workstreams simultaneously and operating across a broader function rather than supporting a single team.
- Strong mentoring and coaching experience, with a track record of raising engineering standards and developing others.
- Experience working with modern engineering practices including Git, CI/CD, automation, and cloud-based data platforms.
- Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences.
- Interest in AI-enabled tooling and modern ways of working, with a pragmatic approach to adopting new technologies responsibly.
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