Senior Data Engineer

• Data Engineering Expertise: Proven experience designing, building and supporting production-grade data pipelines, with strong Python, SQL and cloud data engineering capability.
• AWS & Engineering Practices: Practical experience working with AWS or comparable cloud data platforms, with the ability to apply that experience within an AWS-based data lake environment, applying secure engineering practices including testing, monitoring, data quality and automated deployment.
• Technical Leadership: Experience reviewing code, mentoring engineers and setting engineering standards, with the ability to translate business requirements into scalable, secure and maintainable technical solutions.

We’re a thriving team passionate about working together to deliver excellence, all in a natural forest environment

Welcome to Center Parcs, the number one choice for short break holidays, employing a team of over 10,000 across Forest House and six separate villages located in the UK and Ireland.

Our Data team is at an exciting point in its development. We’re building more of our data engineering capability in-house and evolving the way we manage, assure and unlock value from data across the business. Working across an established data warehouse and a growing AWS-based data lake, the team supports data that underpins everything from the guest booking journey through to analytics and downstream business systems .

There’s a real opportunity to help shape what comes next. We’re investing in automation, strengthening data quality and stewardship, and developing our internal engineering capability, creating an environment where people can solve meaningful technical problems, influence how we work and grow their careers as the team develops.

What you’ll be doing

• Data Engineering & Pipelines: Lead the design and development of secure, scalable and reusable data pipelines across our AWS environment, data warehouse and data lake, using Python, SQL and cloud engineering expertise to build reliable solutions that support the wider business.
• Build Our In-House Capability: Help shape our growing data engineering function as we bring more capability in-house, solving complex technical problems, evolving existing solutions and establishing sustainable engineering practices for the future.
• Engineering Standards & Quality: Shape how we engineer data, setting standards across coding, testing, deployment, monitoring, documentation and data quality, while building security, resilience and observability into our pipelines from the outset.
• Automation, AI & Innovation: Use automation and AI-assisted development tools to improve how we design, code, troubleshoot and deliver, with appropriate testing, validation and guardrails to create safe, maintainable solutions.
• Technical Mentoring & Collaboration: Support the development of colleagues through code reviews, pair programming and design guidance, while collaborating with teams across Data, Technology and the wider business to turn requirements into effective technical solutions.