At a Glance
- Tasks: Build and evolve our data platform, transforming raw data into reliable insights.
- Company: Join Kitman Labs, a leader in sports performance intelligence.
- Benefits: Enjoy competitive salary, health insurance, equity, and wellbeing perks.
- Other info: Remote work available with opportunities for face-to-face collaboration.
- Why this job: Work with cutting-edge tech in a dynamic environment impacting top athletes worldwide.
- Qualifications: Proficient in SQL, Python, and familiar with GCP; collaborative mindset essential.
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.
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.
Data Engineer in Manchester employer: Kitman Labs Ltd.
At Kitman Labs, we pride ourselves on being an innovative employer that champions a collaborative and inclusive work culture. As a Data Engineer, you'll have the opportunity to work with cutting-edge technology in a dynamic environment that values clean code and pragmatic engineering. With competitive benefits, a commitment to employee growth, and the chance to contribute to the performance of top athletes globally, Kitman Labs is an exceptional place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kitman Labs Ltd.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Kitman Labs Ltd..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kitman Labs Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Kitman Labs Ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kitman Labs Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kitman Labs Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kitman Labs Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kitman Labs Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
