Data Engineer

Overview

In this Data Engineer role, you will design, build, and maintain scalable data infrastructure to enable data-driven decisions, innovation, and operational efficiency. You’ll work on reliable pipelines, secure data handling, and architectures that support business growth in a sports tech context. You collaborate with stakeholders to translate needs into robust data solutions and contribute to the group’s advanced pricing and risk capabilities. This role offers impact through shaping data platforms used across the enterprise, with a focus on the US market and a culture that values performance and trust.

Pay / Benefits

• generous group bonus scheme
• hybrid working
• private medical insurance
• pension scheme (matched 6%)
• holiday buy/sell
• Unmind wellbeing app

Responsibilities

• Design and implement scalable data architectures and systems
• Develop and maintain ETL pipelines
• Manage data storage, backup, and recovery
• Write SQL queries to extract data for analysis
• Develop and implement data security and privacy measures
• Interface with clients and end users to gather requirements and deliverables

Key requirements

• Proficient in SQL and Python for data transformation and analytics use cases
• Understanding of data modeling and ability to design optimized data models
• 2+ years with relational databases
• 1+ year implementing data pipelines on Kafka or equivalent streaming platforms
• Ability to debug and optimize data pipelines and queries
• 1+ year systems integration experience ( networking, data migrations, API integration)
• Comfort with documentation, logging, reproducibility
• 2+ years experience with AWS S3, Athena, ECS, CloudFormation, Lambda, and CloudWatch
• Excellent presentation, documentation, time management, and communication skills; collaborative and autonomous work style
• Strong problem-solving, pragmatic and analytical mindset

• collaboration
• autonomy
• communication
• SQL
• Python
• data modeling

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