Senior Software Engineer (Reporting)

Houston Texans; Greater Manchester; On-site; GBP 50,000 - 90,000; Full time

Job description

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes.
Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world.
Kitman Labs’ advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey.
The Role
We are seeking a Senior Backend Engineer to play a pivotal role in the evolution of our reporting and analytics platform. This critical project involves rearchitecting our existing system to leverage a modern reporting paradigm and introduce technologies that will allow us to scale reporting to large data sets (300 million data points per customer). As a senior engineer, you will play a key role in designing scalable data pipelines, implementing pre-calculation strategies, and enabling dynamic custom reporting capabilities for our clients.
This position requires a blend of deep technical expertise, strategic vision, and hands-on engineering skills to ensure the successful delivery of this architecture transformation. You’ll collaborate with product managers, engineers, data engineers, data scientists and stakeholders to create a robust, high-performing solution that meets our customers’ evolving reporting needs.

What you'll be responsible for

• Driving Architectural Design: Design, build, and maintain a reporting platform that integrates with high volume database technologies (TSDB/OLAP) and provides custom BI capabilities, ensuring scalability, performance, and reliability.
• Develop and Optimise Data Pipelines: Create data transformation pipelines to summarise and pre-calculate large volumes of data for efficient querying and reporting.
• Ensure High Standards of Quality: Maintain robust testing and CI/CD pipelines, write high-quality and secure code, and implement QA best practices.
• Solve Complex Problems: Confidently debug and optimise complex issues across services, data pipelines, and the stack.
• Technical Leadership: Provide architectural direction, make pragmatic decisions on technical trade-offs, and mentor team members.
• Stakeholder Collaboration: Work closely with the product team to define, refine, and deliver user stories that translate into impactful reporting features.

Experience and skills we look for

• Proven Experience in Data-Intensive Systems: Strong track record in designing and building reporting systems, including data pipelines, TSDB/OLAP, or similar architectures.
• Expertise in Backend Development: Experience building APIs and services, preferably in Ruby, but open to other languages with the ability to quickly learn new ones.
• Data Engineering Knowledge: Familiarity with ETL pipelines, data modelling, and pre-aggregation techniques to handle large datasets.
• Analytical Thinking: Ability to debug, optimise, and solve problems across complex systems and services.
• CI/CD and Testing: Deep understanding of CI/CD pipelines and testing frameworks to ensure the reliable delivery of high-quality software.
• Leadership and Collaboration: Experience guiding technical projects, mentoring engineers, and collaborating across teams.

Additional Skills that set you apart

• Experience with time-series databases (e.g., Amazon Timestream, InfluxDB, TimescaleDB) or scalable analytics platforms.
• Knowledge of business intelligence tools (e.g., Power BI, Tableau, or Looker) for custom report development.
• Hands-on experience with AWS services for data processing and secure storage, particularly in GovCloud or IL5-compliant environments.
• Familiarity with AI/ML tools and workflows, particularly in the context of data analytics and reporting.
• Strong understanding of database optimisation, caching strategies, and performance tuning.