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Lead Software Engineer (Python-JavaScript) - Horse Racing
About:
Ellipse is an industry leader in the collection, analysis and dissemination of live sports performance data. Our goal is to engage our diverse audience with new stories about sports. We create products and services across cricket, football, horse racing, rugby and tennis that enrich the experience of fans, athletes, and teams worldwide. Our data is a central component of media coverage, betting operations, athlete feedback and coach decision-making in some of the biggest competitions.
Job description:
With ambitious growth plans, we are seeking an experienced Lead Full Stack Engineer to join our dynamic team, focused on Horse Racing. In this role, you will be responsible for designing, implementing, and maintaining software applications across our Horse Racing technology stack. As a Lead Engineer, you will play a crucial role in driving innovation, mentoring team members, and ensuring the scalability, performance, and security of our applications. If you have the technical know-how, along with some interest in Sports and curiosity about how unique statistics can unearth compelling stories, this role is for you!
Location:
Kennington, London (Hybrid - 3 days a week)
Responsibilities:
- Lead and oversee the design, development, and operation of our data engineering platforms, AWS infrastructure, and cloud-based product offerings.
- Work closely with Product teams, understand business requirements and translate them into scalable data, cloud, and infrastructure solutions.
- Develop and implement strategies for ingesting, processing, storing, and delivering data from multiple sources in a secure, reliable, and efficient manner.
- Lead and collaborate with Engineering, Data Science, UX and DevOps teams to manage cloud infrastructure, design analysis, deployment pipelines, CI/CD processes, platform reliability, and release management frameworks.
- Drive technical delivery, team coordination, and business continuity initiatives, ensuring high availability, disaster recovery readiness, operational resilience, and platform stability.
- Be a key contributor to the ideation, planning, execution, and validation of existing and new platform capabilities, with a focus on improving engineering processes, infrastructure automation, data quality, and operational excellence.
- Ability to lead and support key operational activities during critical Horse Racing events, ensuring system availability, performance, incident response, and business-as-usual (BAU) continuity under high-demand conditions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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Requirements:
Data Engineering and Platform Development
- At least 5-7 years of commercial experience building scalable data pipelines, data platforms, and cloud-native solutions using Python. SQL & AWS Services.
- Experience designing and developing ETL/ELT processes, data ingestion frameworks, and large-scale data processing solutions.
- Strong understanding of distributed data systems, data modelling, data quality, and performance optimisation.
AWS Infrastructure & Cloud Engineering
- Strong hands-on experience with AWS services including EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, and related cloud services.
- Experience designing, deploying, and managing secure, scalable, and highly available cloud infrastructure.
- Knowledge of infrastructure automation and Infrastructure as Code using EKS (Terraform), CloudFormation, or similar tools.
- Strong understanding of networking, security, monitoring, backup, and disaster recovery practices.
Databases & Data Management
- Solid experience with relational databases, cloud data platforms, and data workflows involving database design, optimisation, performance tuning, and management using RDS/RDBMS and related technologies.
- Understanding of metrics generation, data integrity, data migrations, and lifecycle management.
- Experience managing large datasets and supporting analytical & operational workloads.
DevOps & Platform Operations
- Experience in containerisation using Docker, Orchestration and scaling with Kubernetes.
- Experience building and maintaining automated deployment pipelines and CI/CD workflows.
- Experience implementing monitoring, alerting, logging, and operational support processes.
- Strong focus on platform reliability, business continuity, support and operational resilience.


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Leadership and Engineering Practices
- Experience leading engineering teams, mentoring engineers, conducting code and design reviews, and driving technical best practices.
- Experience designing scalable, maintainable, secure, and production-ready platforms.
- Familiarity with best practices around reliability, observability, security, and performance optimisation.
Desirable
- Knowledge of Horse Racing as a Sport, Rules, major Events & its Data would be highly advantageous in the selection process.
- Understanding of UI tech stack like React and related technologies.
- Exposure to NoSQL, graph databases, and vector databases.
- Understanding of AI native engineering processes and usage of AI tools like Cursor or Gemini to develop workflows.
Equality & diversity:
Ellipse is committed to building an open and inclusive culture that supports personal development and learning. Ellipse believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment.
Benefits:
- 25 days holiday (plus bank holidays)
- Flexible working times
- Hybrid/remote work
- Employee Assistance Programme
- Company pension scheme
- Life insurance
- Training and development opportunities
About Ellipse
Ellipse is a leading sports data and analytics company comprising CricViz, FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services), and TennisViz. Working with the world’s biggest broadcasters, professional teams, and rights holders, we simplify complex data to engage a broad and diverse audience and tell better stories about the sports we love.
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