> Markdown version of [/jobs/ext/2175827-data-engineering-senior-manager](https://www.wearedevelopers.com/jobs/ext/2175827-data-engineering-senior-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineering Senior Manager - **Company:** FanDuel - **Location:** Edinburgh, UK - **Experience:** Expert - **Salary:** £80,737.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, BigQuery, Code Review, Data Architecture, Information Engineering, Data Infrastructure, Fraud Prevention and Detection, Python (Programming Language), Datadog, System Availability, Snowflake, Data Lakes, Data Management, Data Pipelines, Pagerduty, Databricks, Programming Languages - **Published:** August 22, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5851144352 ## About the Role * 10+ years of experience in Data Engineering, Data Platform, or related data roles. * 3+ years leading engineering teams, including coaching, performance management, and organizational development. * Deep expertise building scalable data platforms and production-grade data pipelines, and strong experience with Python, Scala, or similar programming languages. * Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. * Proven experience driving complex cross-functional initiatives from concept through production. * Experience leading technical architecture discussions and engineering design reviews. * Experience in setting up self-healing and resilient data, and setting up monitoring and alerting using Monte Carlo, PagerDuty and DataDog. * Experience managing and delivering multiple projects at the same time is necessary. * Excellent people management, communication, presentation and facilitation skills are necessary. ## Description As a Senior Engineering Manager, you'll lead teams with blend of consultants and employees with diverse data engineer background who build scalable data pipelines to power business intelligence, analytics, fraud detection, and operational reporting across FanDuel. You'll partner with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance. This role demands both organizational leadership and technical depth; you'll build high-performing teams, own platform reliability and cost, and enable data-driven decision-making through pragmatic problem-solving and operational excellence. You should have a passion for imparting knowledge and a proven ability to grow a team and lead it to success. You will show a pragmatic approach to problem-solving; your experience should be built on a solid foundation of engineering development and operational support, and you should be able to show a proven background in coaching/ people management. THE GAME PLAN Everyone on our team has a part to play * Platform Leadership: Lead design build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and AWS infrastructure. Maintain engineering standards for performance, reliability, and cost. Contribute hands-on to architecture reviews, code reviews, and troubleshooting. * Team Management: Manage up to 9 data engineers and 5 consultants-hiring, onboarding, performance reviews, and career development. Build a high-trust culture grounded in psychological safety and continuous learning. * Delivery & Execution: Plan and prioritize the team's work to deliver on-time, on-quality. Balance discovery, platform investment, and run-the-business work. Know which features are essential versus deferrable. * Operational Excellence: Own production health, SLAs, and incident response. Identify and resolve risks, blockers, and cross-team dependencies proactively. * Architecture & Strategy: Resolve data architecture gaps. Align decisions across teams and drive platform coherence. Simplify, optimize, or extend solutions as needed. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)