Data Engineer - sports analytics in London - Recruitment Gamechangers

Job Description Data Engineer

Salary: £35-70k (plus very attractive bonus on top)
Location: London/Leeds (hybrid working of 1 day a week in either the London or Leeds office, if prefered)

We are looking to fill 2 or 3 roles at various seniority levels. PLEASE only apply if you have a strong interest in sports analytics.

We are recruiting for a Sports Analytics company - a clear leader in their market with considerable expansion plans.

Purpose of role:
The purpose of the Data Engineer is to implement and maintain data infrastructure that facilitates data-driven decision making, innovation and operational efficiency while ensuring that the data pipeline is secure, reliable, and scalable. The role holder will build and maintain high-performance data systems that are foundational to driving business growth and success.

Key responsibilities:
Implementing scalable data architectures and systems.
Developing and maintaining ETL (Extract, Transform, Load) pipelines.
Managing data storage, backup, and recovery mechanisms.
Writing complex SQL queries to extract data for analysis.
Developing and implementing data security and privacy.
Interfacing with clients, end users, and business stakeholders to provide transparency and receive guidance on projects, deliverables, and support.

Experience and knowledge:
Demonstrate an interest in building, maintaining, and scaling large-scale data systems. Knowledge of data privacy and security, including data encryption and masking techniques.

Skills and competencies:
An understanding of data modelling concepts and be able to design data models that are optimised for different user cases.
Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms.
Familiarity with SQL and experience working with and designing relational databases.
Ability to debug and optimize failing or slow data pipelines and queries.
Enthusiasm for clean systems, including documentation, logging, and reproducibility.
An interest in working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch
Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously.
Strong problem-solving skills with a pragmatic and analytical outlook.

Desirable:
Able to troubleshoot complex problems that arise during the Data Engineering process and be able to find effective solutions.
Communicate complex technical concepts to non-technical stakeholders and be able to work effectively with cross-functional teams.
Experience (1+ year) working with Python/R.
A keen interest in American sports. (NFL, NBA, MLB, NHL, NCAAB, NCAAF, Tennis or Soccer).