3 of 3 Data Integration Jobs in Sheffield

allowance based on a skills assessment Published on 10 July 2025 Deadline 30 July 2025 Location Croydon, Manchester, Sheffield About the job Job summary As a Lead Data Architect, you will create and uphold data architecture across critical Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by … the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on architecting solutions that integrate emerging technologies such as cloud-native platforms, data lakehouses, streaming data pipelines and AI-powered analytics while collaborating with multi disciplinary teams, this role offers you the chance to elevate how the Home Office exploits data for maximum public impact. Due to business requirements this post is available on a full time/flexible working basis. Where business needs allow, some roles may be suitable for a combination of More ❯

Databricks Data Engineer (roles available at Lead, Senior and Mid Level), £ 50000 - 85000 + benefits. SQL, ETL, Data Warehousing, Databricks etc. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Expanding SaaS product company are looking for a number of Data Engineer as they … continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work with the team to improve their skills and knowledge More ❯

such as Azure Machine Learning or Azure AI Services (Cognitive), to enhance CI/CD automation, optimize DevOps processes, and accelerate developer code and feature delivery. Experience with Azure Data technologies, such as Azure Data Factory (ADF), to support data integration and pipeline automation. Experience with observability and monitoring tools such as Datadog, Grafana, or the More ❯