Role description

Location:
Manchester, GB







Opening Date:14 Sep 2023






Full Time / Part Time:Full Time






Contract Type:Permanent







Closing Date of Applications –28th September 2023

Our Story
Established in 2013, City Football Group is the worlds leading private owner and operator of football clubs, with total or partial ownership of thirteen clubs across the world.City Football Group also invests in other football related businesses and serves as a global commercial platform for our partners, whilst fulfilling our purpose of empowering better lives through football on a local and global scale,consistent with what “City” football has meant to people for over a century.

Our Winning Team
Our purpose is to empower better lives through football. We are proud of the role City Football Group clubs play in their localities, delivering positive economic, social and environmental impact through our operations and through programmes and activities that bring about meaningful, lasting change.

At City Football Group, our Football Intelligence team are continuing to evolve and improve our impact on the decision-making processes across our football clubs. Through continued investment in data science and analytics we are testing and refining footballing principles and building solutions that enable key stakeholders and performance practitioners to make better decisions faster.

Operational and strategic football decisions at CFG are heavily reliant upon insights derived from the continuous pipelines of data that are ingested, quality assured, transformed, and incorporated into user-facing solutions every day. Robust data management is therefore crucial to the success of CFG on and off the pitch.

This role will work within our data engineering team, and in close collaboration with data scientists, to deliver robust, efficient, and integrated data solutions, placing the power of our machine learning and statistical models into the hands of key football stakeholders.

This is Your City

As part of our team, you will be entitled to 26 days annual leave plus an additional day off for your birthday, private healthcare and dental cover, an annual discretionary bonus, plus a range of partnership and lifestyle discounts.

Your Impact
1. Working within the Football Intelligence team alongside a team ofAnalysts& Data Engineers to manage our data collection processes and maintain databases, providing quality assured and optimized data sets ready for football analysis.
2. Responsibility for maintaining and developing pipelines for landing, ingesting and quality-assuring datasets from a wide variety of providers, working in both SQL and python.
3. Supporting our data scientists by productionising newly developed models and advising on engineering best practice to improve code efficiency and readability.
4. Apply engineering best practice to analytics (CI/CD, version control, testing
What we are looking for
Essential

Highly competent in SQL and experience with database management.
Experience with data pipeline and workflow management tools (such as Azure Data Factory, AWS data pipelines, Apache Airflow) and big data tools (such as Databricks, Spark, Hadoop or similar
Highly competent coding in python, and knowledgeable of software engineering best practices, particularly when deploying and productionising statistical and machine learning models.



Desirable

Experience working with a variety of sports data related to scouting, football performance, sports science and medicine.




City Football Group is on a mission to become the worlds leading sports entertainment organisation, and we will continually push to achieve this with talented colleagues from diverse and wide-ranging backgrounds.

Those different perspectives and experiences will continue to help us empower better lives, create electric moments for the fans and seize opportunities for the future.

Positive impact that leads to lasting change is at the core of our values, if you want to be part of this forward movement, we welcome you





Job Segment:Testing, Database, SQL, Data Analyst, Data Management, Technology, Data