2 of 2 Remote Data Architecture Jobs in Newcastle upon Tyne

Job summary Join NHSBSA as an Apprentice Data Engineer and gain hands-on experience building and maintaining data pipelines while studying for a Level 5 qualification. You'll support data sourcing, transformation, and integration under expert guidance, ensuring data is accurate, secure, and accessible. Collaborate with analysts, engineers, and governance teams to deliver data solutions. … You'll develop coding, documentation, and troubleshooting skills, and apply data protection principles. This hybrid role includes remote work and regular office visits in Newcastle. Ideal for someone curious, detail-oriented, and eager to learn in a supportive, innovative environment. What do we offer? o Hybrid working - offering flexibility to work predominantly from home with the opportunity to be … and your loved oneso Access to a wide range of benefits and high street and online discounts Main duties of the job Support the design, build, and testing of data pipelines using multiple data sources. Assist in creating reusable data products and maintaining accurate documentation. Learn and apply data protection and governance principles. Write and test More ❯

Enterprise Data Architect - Hybrid - Newcastle - £85k - £100k + Bonus + Excellent Benefits I'm seeking an experience Enterprise Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud-first data strategy. You'll be responsible for designing … implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks Key Responsibilities: Design and implement scalable, secure cloud-based data architecture (Azure & Databricks) Develop optimised … data models and pipelines using Delta Lake and Azure services Define data standards, policies, and governance practices aligned with compliance Enable real-time analytics and machine learning use cases across business functions Ensure data integration across structured/unstructured sources with high availability Lead innovation and adopt best practices in data engineering and architecture Collaborate More ❯