Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineer/Scientist

Leeds United FC
Leeds
2 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Analyst

Senior Data Scientist (LLM)

Data Scientist - Engineer

Senior AI Engineer / Data Scientist

Data Engineer (Snowflake) - £500 per day - Inside IR35 - Remote

Data Engineer

**Job Title:**Data Engineer/Scientist

**Hours of Work:**40 hours per week

Latest Videos

nextstayCCSettingsOffArabicChineseEnglishFrenchGermanHindiPortugueseSpanishFont ColorwhiteFont Opacity100%Font Size100%Font FamilyArialText ShadownoneBackground ColorblackBackground Opacity50%Window ColorblackWindow Opacity0%WhiteBlackRedGreenBlueYellowMagentaCyan100%75%50%25%200%175%150%125%100%75%50%ArialGeorgiaGaramondCourier NewTahomaTimes New RomanTrebuchet MSVerdanaNoneRaisedDepressedUniformDrop ShadowWhiteBlackRedGreenBlueYellowMagentaCyan100%75%50%25%0%WhiteBlackRedGreenBlueYellowMagentaCyan100%75%50%25%0%**Department:**Football Analytics

**Location:**Elland Road

**Responsible to:**Head of Football Analytics

**Contract Type:**Permanent

**Closing Date:**6th June 2025

Role Summary

The Football Department at Leeds United is working to leverage data to enhance decision making from analysis and recruitment to performance and medicine. We are looking for an individual to build robust pipelines to create a data infrastructure ready for data science modelling and to support our football platform.

Role Responsibilities

Data Pipelines & Infrastructure: working with our Football Data Platform Lead, you will maintain and build data pipelines that serve our models, tools and central platform.

Data Ingestion: Further develop our central data storage and integrate new data sources

Data Standardisation: Leverage SQL to create a standardised layer across our various data types to allow for efficient and scalable data science and analysis.

Data Synchronisation: you will enhance integrations between event and tracking datasets

Metric Development: you will develop player and team metrics from our event-tracking models

Other Responsibilities

  • To take responsibilities for personal performance and the development of personal skills to ensure the required skills, knowledge and competence to fulfil the role.
  • Perform duties with due regard to Club policies and procedures and legislative requirements at all times;
  • To act as an ambassador for equity and inclusion, openly championing the Clubs commitment and action plan. To recognise and appropriately challenge incidents of racism, bullying, harassment, sexual harassment or victimisation and any form of abuse of equal opportunities, ensuring compliance with relevant policies and procedures
  • Ensure implementation of the Club’s health & safety, safeguarding, welfare and equality policies to create a safe working environment for all;
  • Undertake continuous professional development (CPD) training and/or additional training as identified or as required.
  • Ensure working practices are compliant with relevant legislation and data protection legislation and/or general data protection regulations (GDPR) requirements;

Required Relevant Experience

  • Professional experience in data analysis, data science or data engineering
  • Have a good knowledge and experience of the various types of data sources in professional sport (event, tracking, scouting notes, grading, wearable technology and testing data) and understand how it can be integrated to make strategic and operational decisions.

Required Technical Skills

Essential

  • You have in-depth knowledge of SQL and Python to build, monitor and maintain data pipelines
  • Experience with cloud infrastructure (e.g. AWS Lambda, S3, EC2, API Gateway, Airflow, Redshift).
  • Familiarity with CI/CD tools and version control systems (e.g., GitHub Actions).
  • You have an understanding of Infrastructure as Code (e.g. CloudFormation)
  • Interest in developing analytical skills using polars, pandas or SQL
  • Experience working with cloud infrastructure (e.g. AWS Lambda).

Club Statements

General Statement

All employees and workers of the Club must at all times carry out their responsibilities with due regards to all policies and procedures and in particular health and safety, confidentiality and data protection.

Safeguarding Statement

Leeds United is committed to safeguarding the welfare of children and adults at risk and require all employees to share this commitment and promote the welfare of these groups.

Applicants will be asked about any previous convictions, cautions, reprimands, including those that are considered ‘spent’ as defined by the Rehabilitation Offenders Act 1974 (Exceptions) Order 1975 (Amended 2013). Appointment to this role is subject to a satisfactory DBS Check (with children’s barred list check) and references.

www.leedsunited.com/en/club/safeguarding

Equality, Diversity & Inclusion Statement

Leeds United is committed to creating an inclusive and diverse environment and is proud to be an equal opportunity employer. Applicants will receive consideration for employment without regard to age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity; race; religion or belief; sex; and sexual orientation. The club does not tolerate any form of direct or indirect discrimination, victimisation or harassment. Your behaviour must align to the principles of equality as outlined in the Clubs equality policy which can be found at

www.leedsunited.com/en/equality-and-diversity

Health & Safety Statement

The Club is committed to effective management of the Health and Safety risks to all employees, visitors, supporters, and any others associated with the Club. As part of this commitment all staff are expected to conduct your business in a proactive way that prevents injury and ill health to those who may be affected by your activities.

All staff are expected to undertake regular Health & Safety related training and to ensure the environments in which they work remain safe at all times, with the mindset that Health & Safety is everybody’s responsibility.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.