Data Engineering Manager

In this Data Engineering Manager role, you lead the data engineering chapter to build reliable, scalable data products powering analytics and AI-driven initiatives. You’ll balance hands-on platform decisions with people leadership, guiding event-driven and traditional data pipelines across the business. You’ll partner with product, analytics, and engineering stakeholders to ensure robust, well-governed data platforms. This is an opportunity to shape modern data movement at a remote-first travel tech company with a strong engineering culture.

• 25 days holiday plus birthday off
• Learnerbly learning platform and professional development
• Enhanced parental leave and family support
• Employee Assistance Programme and counselling
• SIP (Share Incentive Plan)
• Gym discount

• Lead and develop a team of data engineers to deliver high-quality work
• Shape ingestion and processing of both event-driven and traditional data sources
• Design and evolve the data platform, including pipelines, orchestration, observability, lineage, governance and data quality
• Collaborate with Product, Engineering, Analytics and Data teams to translate business needs into scalable data solutions
• Define and improve data engineering standards around testing, monitoring, deployment and reliability
• Make pragmatic technical decisions balancing delivery speed, platform quality and business value
• Foster a culture of technical curiosity, continuous improvement and strong engineering practice in the team
• Communicate technical concepts clearly to both technical and non-technical stakeholders

• Experience building, operating or leading cloud-based data platforms and production-grade data workflows
• Hands-on with data pipelines, data modelling, orchestration and cloud tools (Databricks, BigQuery, Spark)
• Experience with event-driven or streaming data patterns and traditional data environments
• Ability to design reliable, observable, well-tested data products trusted by diverse users
• Coaching or mentoring engineers and supporting career progression
• Strong communication and decision-making in fast-moving settings

• communication
• coaching and mentoring
• stakeholder management
• cloud-based data platforms
• data pipelines
• data modelling