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For Companies At a Glance
- Tasks: Design and build a cutting-edge reporting platform for sports analytics.
- Company: Join Kitman Labs, a leader in sports performance data innovation.
- Benefits: Enjoy flexible work options and a culture of creativity and collaboration.
- Why this job: Be part of a team transforming sports data into actionable insights for top athletes.
- Qualifications: Proven experience in data-intensive systems and backend development required.
- Other info: Opportunity to work with advanced technologies and mentor fellow engineers.
The predicted salary is between 43200 - 72000 £ per year.
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.
Senior Software Engineer (Reporting) employer: Houston Texans
Contact Detail:
Houston Texans Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer (Reporting)
✨Tip Number 1
Familiarise yourself with the latest trends in data-intensive systems and reporting architectures. Understanding how to leverage TSDB/OLAP technologies will give you an edge, as this is crucial for the role.
✨Tip Number 2
Showcase your experience with backend development, particularly in building APIs and services. If you have worked with Ruby or similar languages, be ready to discuss specific projects where you implemented scalable solutions.
✨Tip Number 3
Highlight any experience you have with CI/CD pipelines and testing frameworks. Being able to demonstrate your commitment to quality and reliability in software delivery will resonate well with the hiring team.
✨Tip Number 4
Prepare to discuss your problem-solving skills in complex systems. Be ready to share examples of how you've debugged and optimised issues in past projects, as this is a key aspect of the role.
We think you need these skills to ace Senior Software Engineer (Reporting)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data-intensive systems and backend development. Emphasise any work you've done with reporting systems, data pipelines, and the technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports performance and analytics. Discuss how your skills align with Kitman Labs' mission and how you can contribute to their reporting and analytics platform.
Showcase Technical Skills: In your application, clearly outline your technical expertise, especially in backend development and data engineering. Mention specific languages, tools, and frameworks you are proficient in, particularly Ruby and any experience with time-series databases.
Highlight Leadership Experience: If you have experience mentoring team members or leading technical projects, make sure to include this in your application. Kitman Labs values collaboration and leadership, so demonstrate how you've successfully guided teams in the past.
How to prepare for a job interview at Houston Texans
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data-intensive systems and backend development. Highlight specific projects where you've designed reporting systems or built APIs, especially if you have experience with Ruby or similar languages.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be ready to explain how you've debugged and optimised complex issues in past roles. Use examples that showcase your analytical thinking and ability to handle large datasets.
✨Emphasise Collaboration and Leadership
Since the role involves working closely with product managers and mentoring team members, share experiences where you've successfully collaborated across teams or led technical projects. This will show your ability to drive architectural design and stakeholder collaboration.
✨Familiarity with Relevant Tools
Brush up on your knowledge of time-series databases and business intelligence tools. If you have hands-on experience with AWS services or AI/ML workflows, be sure to mention these as they align well with the company's needs.
