Our client is a UK airports group. Our client Head of Data Engineering Hybrid Permanent About our client For airports. For partners. For passengers. For people. We are our client - a travel-tech and hospitality company built to make journeys smoother, more rewarding and more human. From our platform that helps airports unlock more value across the passenger journey, to our airport lounges and hospitality experiences people love, everything we do is designed to make travel better - for passengers and the businesses that serve them. That takes people with fresh ideas, different perspectives and the confidence to challenge what already exists. Here, you'll have the space to think, the support to grow and the freedom to be yourself. Whether you're working from one of our offices, at home, in our lounges or on the road, you'll be empowered to create, innovate and help shape better travel experiences. Know the way. Together, we can reach new heights. What's the role? Our client is well into an exciting digital and data transformation journey. With the acquisition of new brands, the expansion of our product portfolio, and a commitment to best-in-class technology, data has become fundamental to how we operate and grow. As we continue to strengthen our centralised data capability across marketing analytics, digital analytics, and commercial analytics, we're now looking for a Head of Data Engineering to join our Data leadership team. This role will shape, strengthen, and scale our centralised data engineering function, ensuring our platforms, pipelines, and architecture are robust, forward-thinking, and fit for the future. You'll bring deep expertise across modern data engineering practices, strong technical solution-design capability, particularly with Databricks, and the leadership experience to empower a high-performing global engineering team. Key Responsibilities Team Leadership: Lead, manage and mentor a team of data engineers, fostering a culture of collaboration, learning, and innovation. Strategic Ownership: Develop and execute the data engineering strategy, ensuring alignment with business objectives and long-term data ambitions. Data Architecture: Design, oversee, and continually improve our client's data storage, processing, and integration architecture. Pipeline Excellence: Ensure the delivery of scalable, high-quality data pipelines for ingestion, transformation and storage. Cross-Functional Collaboration: Partner closely with data science, analytics, product, and engineering teams to ensure data is accessible, discoverable, and meets our client standards. Data Quality
Head of Data Engineering employer: Hackajob Ltd
JPMorgan Chase is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Lead Site Reliability Engineer, you will not only tackle complex challenges but also benefit from extensive professional development opportunities and a strong commitment to diversity and inclusion. Located in a global financial hub, you'll be part of a team that values your expertise and encourages a culture of continuous improvement and technical excellence.
