Kitman Labs Ltd.
Manchester, Lancashire
Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential 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. Kitman Labs' advanced Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League and MLS. The Role At Kitman, you will be a Backend Engineer, someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You'll be part of one of our multidisciplinary product teams, where you will build backend systems and work closely with designers, product managers, and data analysts. Specifically, you'll join our Performance Medicine team, where we are building the next level EMR. This is software that goes far beyond a traditional electronic medical record to drive decisions that keep high performing athletes healthy and on the field. You will be working on the backend systems that power a unified view of athlete health, injuries, recovery, and availability. What will you be doing? Help design the systems behind our Performance Medicine product, from the first technical plan through to the code that ships. Build the Ruby services that capture and move athlete medical data, where accuracy and privacy carry real weight. Take on the reliability and scaling challenges of a platform used by thousands of teams across the world's top leagues. Work directly with product, design, and the medical and performance staff who rely on the product, and shape it around how they actually work. What will you bring? Four or more years writing software in a professional setting, ideally on a SaaS product. Examples of work you are proud of, where you moved a product or a team forward. Time spent building alongside product managers and designers, shipping things people actually use. Practical experience with distributed systems. Benefits Competitive salary Health insurance for employee & dependants Meaningful equity Pension Plan Life Cover Income protection Wellbeing benefits Location While this role allows for remote work, occasional face to face gatherings are recommended. Diversity In addition to building a team with diverse skill sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential 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. Kitman Labs' advanced Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League and MLS. The Role At Kitman, you will be a Backend Engineer, someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You'll be part of one of our multidisciplinary product teams, where you will build backend systems and work closely with designers, product managers, and data analysts. Specifically, you'll join our Performance Medicine team, where we are building the next level EMR. This is software that goes far beyond a traditional electronic medical record to drive decisions that keep high performing athletes healthy and on the field. You will be working on the backend systems that power a unified view of athlete health, injuries, recovery, and availability. What will you be doing? Help design the systems behind our Performance Medicine product, from the first technical plan through to the code that ships. Build the Ruby services that capture and move athlete medical data, where accuracy and privacy carry real weight. Take on the reliability and scaling challenges of a platform used by thousands of teams across the world's top leagues. Work directly with product, design, and the medical and performance staff who rely on the product, and shape it around how they actually work. What will you bring? Four or more years writing software in a professional setting, ideally on a SaaS product. Examples of work you are proud of, where you moved a product or a team forward. Time spent building alongside product managers and designers, shipping things people actually use. Practical experience with distributed systems. Benefits Competitive salary Health insurance for employee & dependants Meaningful equity Pension Plan Life Cover Income protection Wellbeing benefits Location While this role allows for remote work, occasional face to face gatherings are recommended. Diversity In addition to building a team with diverse skill sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Kitman Labs Ltd.
Manchester, Lancashire
Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential 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. Kitman Labs' advanced Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League and MLS. Data Engineer We're looking for a Mid-Level Data Engineer to join our team and help build and evolve our data platform. You'll work across analytics engineering, data pipelines, and data quality - collaborating closely with Engineers, Data Scientists, and Product to turn raw data into reliable, scalable foundations. What You'll Work On Analytics Engineering & Reporting Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold) Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts Write performant, well-structured SQL for large-scale transformations in BigQuery Implement data quality checks using Dataform assertions and automated alerting Support data observability across the warehouse - monitoring pipeline health, data freshness, and anomaly detection Data Pipelines & Ingestion Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration Work with orchestration tooling (Cloud Composer / Airflow) to schedule and monitor workflows Develop familiarity with CDC concepts and event-driven ingestion patterns (Datastream, Pub/Sub) Containerise workloads with Docker for deployment on Cloud Run or similar GCP services Data Science Collaboration Support Data Scientists in moving work from notebook to production pipeline Contribute to feature pipelines and data preparation for ML workloads Help bridge the gap between research prototypes and scalable, maintainable code What We're Looking For SQL proficiency - comfortable writing complex, performant queries against large datasets in BigQuery Dataform experience - or strong dbt experience with willingness to work in Dataform; understanding of modular, version-controlled data transformation Python with an engineering mindset - clean, tested, linted code; comfortable with Git and CI/CD workflows GCP familiarity - hands-on experience with BigQuery is essential; broader GCP exposure (Cloud Storage, Cloud Run, Pub/Sub, Datastream) is a strong advantage Orchestration experience - hands-on with Cloud Composer, Airflow, or a comparable tool Data modelling fundamentals - dimensional modelling, Kimball principles, or medallion architecture patterns Docker basics - able to containerise and deploy data workloads Collaborative and communicative - able to translate business requirements into data models and work effectively with Analytics, Product, and Data Science stakeholders Pragmatic approach to AI tooling - comfortable using AI-assisted development to improve productivity and code quality Nice to have Looker / LookML experience Familiarity with CDC concepts and tools (Datastream, Debezium) Exposure to ML frameworks or MLOps tooling (scikit-learn, MLflow, Vertex AI) AWS experience as a complement (Redshift, Glue, RDS) - we value engineers who can draw on cross-cloud perspective Curiosity about sports performance data Why this role? You'll work on a modern GCP-native stack - BigQuery, Dataform, Looker, Cloud Composer, Cloud Run - with room to grow into platform ownership, CDC pipelines, and MLOps as your experience develops. We care about clean code, good data, and pragmatic engineering over perfection. Benefits Competitive salary Health insurance for employee & dependants Meaningful equity Pension Plan Life Cover Income protection Wellbeing benefits Location While this role allows for remote work, occasional face to face gathering is recommended. Diversity In addition to building a team with diverse skill sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy.
Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential 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. Kitman Labs' advanced Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League and MLS. Data Engineer We're looking for a Mid-Level Data Engineer to join our team and help build and evolve our data platform. You'll work across analytics engineering, data pipelines, and data quality - collaborating closely with Engineers, Data Scientists, and Product to turn raw data into reliable, scalable foundations. What You'll Work On Analytics Engineering & Reporting Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold) Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts Write performant, well-structured SQL for large-scale transformations in BigQuery Implement data quality checks using Dataform assertions and automated alerting Support data observability across the warehouse - monitoring pipeline health, data freshness, and anomaly detection Data Pipelines & Ingestion Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration Work with orchestration tooling (Cloud Composer / Airflow) to schedule and monitor workflows Develop familiarity with CDC concepts and event-driven ingestion patterns (Datastream, Pub/Sub) Containerise workloads with Docker for deployment on Cloud Run or similar GCP services Data Science Collaboration Support Data Scientists in moving work from notebook to production pipeline Contribute to feature pipelines and data preparation for ML workloads Help bridge the gap between research prototypes and scalable, maintainable code What We're Looking For SQL proficiency - comfortable writing complex, performant queries against large datasets in BigQuery Dataform experience - or strong dbt experience with willingness to work in Dataform; understanding of modular, version-controlled data transformation Python with an engineering mindset - clean, tested, linted code; comfortable with Git and CI/CD workflows GCP familiarity - hands-on experience with BigQuery is essential; broader GCP exposure (Cloud Storage, Cloud Run, Pub/Sub, Datastream) is a strong advantage Orchestration experience - hands-on with Cloud Composer, Airflow, or a comparable tool Data modelling fundamentals - dimensional modelling, Kimball principles, or medallion architecture patterns Docker basics - able to containerise and deploy data workloads Collaborative and communicative - able to translate business requirements into data models and work effectively with Analytics, Product, and Data Science stakeholders Pragmatic approach to AI tooling - comfortable using AI-assisted development to improve productivity and code quality Nice to have Looker / LookML experience Familiarity with CDC concepts and tools (Datastream, Debezium) Exposure to ML frameworks or MLOps tooling (scikit-learn, MLflow, Vertex AI) AWS experience as a complement (Redshift, Glue, RDS) - we value engineers who can draw on cross-cloud perspective Curiosity about sports performance data Why this role? You'll work on a modern GCP-native stack - BigQuery, Dataform, Looker, Cloud Composer, Cloud Run - with room to grow into platform ownership, CDC pipelines, and MLOps as your experience develops. We care about clean code, good data, and pragmatic engineering over perfection. Benefits Competitive salary Health insurance for employee & dependants Meaningful equity Pension Plan Life Cover Income protection Wellbeing benefits Location While this role allows for remote work, occasional face to face gathering is recommended. Diversity In addition to building a team with diverse skill sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy.