2 of 2 Permanent Azure Data Factory Jobs in Yorkshire

Your new company A Principal Data Engineer is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud … based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data … leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks More ❯

Head of Data Engineering - Azure & Databricks - Remote - Up to £100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in … a clear roadmap for digital transformation, this company offers an exciting environment for technical leaders to make a real impact. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional … teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing More ❯