Job summary Ready to take on a career-defining challenge? HDFT are looking for two Senior Data Engineers to play a pivotal role in a ground-up deployment of Microsoft Fabric. This is a rare opportunity to work on a completely greenfield project, shaping architecture and developing robust, scalable … data pipelines using best-fit technologies. What's in it for you??Immediate exposure to Microsoft Fabric -- be at the forefront of cutting-edge data engineering.?Greenfield deployment -- minimal legacy constraints, just innovation.?Critical role -- influence architecture, tooling, and best practices from day one.?Technology-first environment -- work … with modern cloud and data technologies to build something that lasts. What you'll be doing? Designing and implementing high-performance data pipelines for real-time and batch processing.? Architecting a future-proof data platform, leveraging Microsoft Fabric and other best-in-class tools.? Collaborating with cross More ❯
Data Engineer - SC Clearable Leeds (Hybrid and Flexible Working Available) 65K + Bonus **?? MUST BE ELIGIBLE FORSC CLEARANCE Join a leading digital intelligence organisation working at the forefront of data-driven transformation for the public sector. We are looking for a Data Engineer with active SC Clearance … to help evolve a successful proof-of-concept into a fully productionised and supported data platform using cutting-edge Microsoft Azure technologies. ?? What You'll Be Doing: Over the past four years, our client has partnered with Mobilise to explore and validate a modern data warehouse and business … intelligence ecosystem. This journey included a full proof-of-concept, showcasing the potential of Microsoft's data stack to unlock actionable insights and improve internal reporting capabilities. We are now entering the next phase: transforming this proof-of-concept into a robust, scalable, and secure production environment. You'll More ❯
and ability to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions on cloud platforms. You will be familiar with big data tools and technologies for handling large datasets and have hands-on experience with cloud providers like Google Cloud Platform (GCP) . Responsibilities: Utilise cloud … solutions (e.g. ) to build and deploy scalable AI solutions. Process and analyse large datasets to train and evaluate AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for dataingestion, processing, and model training. Integrate … latest advancements in AI/ML and cloud technologies. Contribute to the development of AI/ML strategy and best practices. Requirements: Knowledge of data structures, algorithms, and software design principles. Experience with machine learning frameworks: Preferably hands-on experience with cloud platforms (GCP) and their AI/ML More ❯
