Lead Data Engineer

Reward

Reward aims to be a global leader in customer engagement by fostering meaningful relationships between brands and their customers. The Lead Data Engineer will be crucial in designing, developing, and optimizing the data infrastructure to enhance customer interactions and drive business innovation.

In this role you can expect to have the responsibilities:

• Design, build, and maintain ETL processes for datasets exceeding 500,000 customers.
• Develop and optimize SQL queries to improve performance.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Manage cloud-based data infrastructure on AWS, using services like S3, Athena, and Lambda.
• Enhance and maintain Microsoft SQL Server technologies such as SSRS, SSIS, and SSAS.
• Document data processes and best practices to ensure clarity.
• Mentor junior engineers and uphold high coding standards.
• Contribute to the strategic roadmap for data and technology improvements.

This role comes with the following benefits:

• 25 days annual leave, plus bank holidays.
• Option to buy/sell holiday days.
• Hybrid working model with 3 office days per week.
• 6% matched pension contribution through Hargreaves Lansdown.
• Employee share scheme.
• Generous family cover.
• Private healthcare via Bupa.
• Income protection and critical illness cover.
• Life, dental, and optical insurance.
• Access to Yulife app for wellbeing and discounts.
• Perks at Work cashback/discount site.
• Employee referral scheme.
• Salary sacrifice programs.
• Volunteering opportunities.
• Company events and team socials.

This role requires you to have:

• 5+ years with large relational databases.
• Expertise in Python for data manipulation.
• In-depth knowledge of relational databases.
• Experience with Microsoft SQL Server technologies.
• Proficiency in AWS cloud technologies.

You would benefit from having:

• Ability to translate business requirements into technical specifications.
• Producing clear documentation for data processes.

Reward is committed to rewarding daily spending and interactions, significantly enhancing customer engagement through innovative data solutions.