Senior Data Engineer

Join a growing, people‑first organisation where you'll shape a modern Databricks Lakehouse platform, lead impactful data initiatives across the business, and enjoy true flexibility, autonomy and career growth.

This is a mission‑driven organisation that empowers people to travel with confidence, backed by a strong culture of integrity, care and collaboration. It has recently entered an exciting growth phase following a strategic partnership, creating new opportunities for impact and innovation across the business. Recognised as one of the best places to work, the company offers a supportive, people‑first environment where every employee plays a meaningful role in shaping its future.

You'll join a team that values autonomy, flexibility and personal development, with real investment in learning, wellbeing and career progression. This is a chance to contribute to a growing brand with clear purpose, strong leadership and a genuinely collaborative culture.

• Design, build and maintain scalable data pipelines and products within a modern Databricks Lakehouse environment using Delta Lake, Spark, Python (PySpark) and SQL.
• Manage and optimise the cloud-based lakehouse, leveraging Unity Catalogue, Databricks Workflows and best practices for performance, quality, lineage and compliance.
• Work closely with stakeholders to gather requirements, communicate technical concepts clearly and support delivery through Agile methodologies.
• Mentor junior engineers, promote a positive and inclusive team culture and embed strong governance, access control and secure handling of PII.
• Suited to someone with strong Databricks engineering expertise paired with excellent communication skills and a collaborative, delivery‑focused mindset.

If this role sounds interesting, apply now!