2 of 2 Data Lake Jobs in Middlesbrough

Senior Data Engineer Permanent Up to £75k Middlesbrough (Circa 3 times per week) Overview A leading organisation in the industrial services sector is seeking a talented and experienced Data Engineer to support and develop cutting-edge data solutions. This role focuses on data integration, modelling, transformation, and master data management … with a strong emphasis on Microsoft and Azure technologies. The company operates in a fast-paced environment using Agile methodologies and CI/CD processes to deliver data-driven insights across the business. Key Responsibilities Design, develop, and support scalable data solutions that integrate multiple systems and sources. Implement and manage master data solutions … maintain clear documentation. Technical Skills & Qualifications Proven experience in a Data Engineer role. Expertise in Microsoft and Azure technologies: SQL Server, ADF, Logic Apps, Data Lake, Power Query, Fabric, Function Apps, Power Automate, Spark, Databricks, SSIS. Strong understanding of data modelling techniques including Normalisation and Kimball methodologies. Proficient in SQL, and experience with More ❯

for a hands-on, highly skilled individual who can set direction and bring technical leadership to a growing team. You'll be managing a cloud-based data lake, designing reusable data assets, and fostering a data-first culture in a dynamic and impactful environment. Key Responsibilities Act as Technical Lead for the central … Data Services team, ensuring delivery of high-quality, scalable data pipelines. Manage and evolve the organisations AWS-based data lake and catalogue. Champion and embed best practices in data ownership, reusability, and governance. Contribute to the organisation's Data Centre of Excellence and provide strategic input on data … value of data assets. Key Requirements Essential: Demonstrable experience leading the delivery of robust and reusable data pipelines usingAWS technologiessuch as S3, Glue, Lambda, and Lake Formation. Proficiency in Terraform, GitHub, and VS Code for pipeline deployment. Proven leadership in developing high-performing data teams. Strong SQL and familiarity with analytics tools such More ❯