Data Engineer
Role details
Job location
Tech stack
Job description
As a Senior Data Engineer, you'll be responsible for designing, building and maintaining scalable data pipelines and infrastructure that underpin analytics, reporting and product insight across the organisation.
Core Responsibilities Design, build and maintain robust data pipelines to support analytics, product and reporting needs Develop and optimise ETL/ELT processes for large volumes of player, game and transaction data Work closely with data analysts and stakeholders to ensure data is reliable, accessible and well-structured Improve data quality, monitoring and observability across the platform Support real-time and batch data processing use cases Collaborate with engineering teams to integrate data solutions with the wider platform Ensure data architecture aligns with security, compliance and regulatory requirements Contribute to data platform strategy, tooling decisions and best practiceRequired Experience & Expertise
Requirements
Proven experience as a Data Engineer, ideally within iGaming, gambling or another regulated environment Strong experience with SQL and modern data warehousing solutions Experience building pipelines using tools such as Airflow, dbt or similar Solid understanding of cloud platforms, ideally AWS Experience working with event-driven or streaming data architectures is a plus Strong grasp of data modelling, performance optimisation and scalability Comfortable collaborating with analytics, product and engineering teams
Benefits & conditions
£80000 - £95000/annum Full time NEWREMOTE Are you a Senior Data Engineer with iGaming or Gambling experience, looking to build and scale modern data platforms?
BENEFITS: £80,000-£95,000 depending on experience, fully remote, excellent benefits package
You'll be joining a fast-growing iGaming and online casino company operating a custom-built platform that supports millions of player interactions. The business is a recognised leader across sports betting and online casino, with a strong focus on performance, reliability and data-driven decision-making.