2 of 2 Remote Data Engineer Jobs in Berkshire

Data Engineer Our financial services client based in Reading is looking to recruit an experienced Data Engineer to join ASAP. The position will be fully remote working with occasional visits to their offices in Reading. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Whilst not a pre … requisite, knowledge and experience in the financial services industries would be advantageous. Previous experience as a data engineer or in a similar role with a minimum of 2 years’ experience. Familiarity with data models, data mining, and segmentation techniques. Knowledge of SQL and Azure technologies. Strong analytical skills to interpret trends and patterns in data. Proficiency … in database languages. Attention to detail and excellent organizational skills Technical Skills required Familiarity with the building and deployment of ETL process through Azure Data Factory. Basic understanding of Azure Fabric and appropriate implementation. Familiarity with the management and use cases of Azure Data Lake Storage. Familiarity with the development of analytics Azure Synapse. Familiarity with Azure database More ❯

Senior Data Engineer in Databricks - Lead the Future of Data in Financial Services Location: Hybrid | 2-3 days/week on site Offices: South East and North West Salary: Up to £80,000 + Car Allowance + Bonus + Benefits Note: Visa sponsorship is not available for this role. Be the Technical Leader in a Bold Data Transformation Our client is entering a pivotal phase in its data journey. With a new Head of Data already in place and a Data Architect joining shortly, the business is investing in a modern, scalable data platform to turn messy, complex client data into trusted, actionable insights. As Senior Data Engineer, you … team. This is a hands-on leadership role for someone who thrives in small, agile environments and wants to make a real impact. Key Responsibilities Lead and mentor two Data Engineers, providing technical guidance and coaching. Design and deploy modern data pipelines using Databricks and Azure. Transform unstructured external data into clean, business-ready models. Build semantic More ❯