Data Engineering Manager leading the data engineering team at Buyagift & Red Letter Days. Overseeing data strategy, architecture, and team management in a hybrid role.
Responsibilities
Lead and manage a team of data engineers working on our core data platform.
Set technical direction and strategy across data infrastructure, data architecture, and data modelling, ensuring we build the right solutions in the right way.
Own and evolve our data models and data architecture, ensuring they are scalable, well-governed, and aligned with business needs.
Build and maintain scalable, resilient data pipelines and systems, including an in-house event ingestion platform.
Define best practices for analytics engineering, data modelling, and schema design to support reliable reporting and downstream use cases.
Take ownership of data code, underlying infrastructure, CI/CD pipelines, and production monitoring.
Collaborate closely with data insights and analytics teams to develop and refine ML-driven analytics pipelines.
Work with stakeholders across the business to understand data requirements and translate them into reliable, accessible data solutions.
Ensure data quality, governance, security, and GDPR compliance across the data platform.
Support and grow engineers through mentoring, clear objectives, and our engineering growth framework.
Requirements
You have experience mentoring and developing engineers, and working closely with non-technical stakeholders.
You’re either an experienced manager or ready to take the next step into a people leadership role.
You enjoy taking ownership end-to-end, from data models and architecture through to pipelines, infrastructure, and production support.
You’re passionate about data and apply best practices to analytics engineering, data modelling, and platform design.
You have experience building and maintaining modern data platforms, ideally using Snowflake.
You’ve worked with modern ETL tooling and understand how to build reliable, automated data flows.
You’re curious about the business context behind the data and enjoy collaborating to solve real problems.
Benefits
💸 Competitive Pay & Bonuses: Plus generous pension plans, staff discounts, and share schemes.
💆🏾♀️ Wellbeing First: Private healthcare (UK), dental, life insurance, mental health support, and dog-friendly offices.
🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (unless specified otherwise, 2 days a week in the office), and opportunities for international working.
📈 Career Growth: Learning allowances, coaching, and development programs.
🤝 Recognition & Giving Back: Regular awards, charity support, length of service awards, and volunteering days.
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