Engineering Manager - Data Engineering

About Us

Our mission is to dominate the betting and gaming industry on a global scale and we need the very best Tech talent to help us achieve this.

We recently migrated all of our customers onto our very own proprietary platform - so it's an exciting time to join us. With the help of our new platform, we're able to pioneer new products and drive more advanced, creative technologies. The result? Unrivalled experiences for millions of customers worldwide.

Betfred's Technology department is driven by innovation, and you'll be at the heart of unlocking our new platform's potential. So, if you want to help shape the future of betting and gaming, then it's to time to join us.

This Data Engineering Manager will lead and mentor a team of talented data engineers, driving the strategy, design, and delivery of a scalable and robust data platform. This pivotal role will balance technical leadership with team management, ensuring the platform effectively supports the company's business intelligence, analytics, and machine learning goals.

• Lead, mentor, and manage a team of data engineers, fostering a culture of technical excellence, accountability, and continuous improvement.
• Define the strategic roadmap for the data platform and associated technologies, ensuring alignment with business objectives and architectural standards.
• Oversee the design, development, and operational excellence of data pipelines, ETL/ELT processes, and data warehouse/data lake solutions.
• Collaborate closely with product managers, data scientists, and business stakeholders to understand data needs and translate them into technical requirements and deliverables.
• Drive the adoption of best practices in data governance, data quality, data security, and platform observability.
• Manage the budget, resource allocation, and project timelines for the data engineering team's initiatives.
• Architect and govern the data platform's infrastructure, leveraging cloud services to ensure scalability, cost-efficiency, and performance.
• Conduct performance reviews, support career development, and actively participate in the recruitment and onboarding of new data engineers.
• Act as the technical escalation point for complex data platform issues and production incidents.

Essentials

• Proven experience in data engineering, with at least 2+ years in a technical leadership or management role.
• Strong technical proficiency in data modelling, data warehousing, data lakehouse architectures, and distributed systems.
• Expertise with Cloud Data Services (e.g., AWS Redshift, Glue, EMR, or equivalent from Azure/GCP) and orchestration tools
• Solid programming skills, particularly in Python and SQL.
• Demonstrated ability to build, motivate, and manage high-performing technical teams.
• Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including executive leadership.
• Experience with Agile/Scrum methodologies and managing an engineering project lifecycle.
• Familiarity with Dev Ops practices (CI/CD, Infrastructure as Code, e.g., Terraform) as applied to data platforms.

• A competitive rate of pay and pension contribution (£70,000 - £90,000)
• Generous discretionary bonus schemes, incentives and competitions
• An annual leave entitlement that increases with length of service
• Access to an online GP 24/7, 365 days a year for you and your immediate family.
• Employee wellbeing support through our Employee Assistance Programme
• Enhanced Maternity & Paternity Pay
• Long Service Recognition
• Access to a pay day savings scheme, financial coach and up to 40% of your earned wage ahead of payday, through Wagestream.

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