4 of 4 Data Warehouse Jobs in West Yorkshire

Job summary At Leeds Community Healthcare, we're seeking a skilled Senior Data Warehouse Developer to join our team and help us develop and maintain our data warehouse infrastructure. Using your expertise in SQL Server and SSIS, you'll design, build, and optimise ETL processes, from data ingestion through to transformation, ensuring … data is available for the Business Intelligence Team and other stakeholders. You'll work closely with colleagues across the BI team to ensure the data warehouse continues to evolve in line with organisational needs and is managed in a secure, efficient, and scalable manner. This role offers flexible and remote working options, with occasional face … addition to the brief overview below, please ensure you review the full Job Description and Person Specification attached to this advert before applying. As a Senior Data Warehouse Developer, you will work closely with colleagues across the wider Business Intelligence Team to develop, enhance, and maintain our data warehouse processes. Your responsibilities will include More ❯

business functions. About the Senior Automation Expert As the Senior Automation Expert, you will play a strategic and hands-on role in enhancing the company’s automation and data capabilities. Working as part of the IT leadership function, you will design and deliver scalable digital solutions that enable smarter decision-making and improved operational efficiency. Key responsibilities include … Developing and executing the strategy for analytics, automation, and AI in alignment with business priorities. Leading the delivery of dashboards, data models, and AI-driven process improvements. Acting as the key contact for automation and AI initiatives across the organisation. Championing data-led decision-making and the adoption of self-service analytics. We are seeking individuals … who can demonstrate: 4+ years’ experience in data architecture, automation, or AI solution development. Expertise with Microsoft Power Platform , Power Automate , and Copilot Studio . Strong understanding of cloud-based environments (Azure, Snowflake, or Databricks). Excellent stakeholder engagement skills and the ability to communicate complex concepts clearly. Automation | AI | Data Analytics | Machine Learning | Power BI More ❯

Senior Data Engineer (PowerBI) Hybrid Leeds We are looking for a Senior Data Engineer to join our clients team in Leeds. The ideal candidate will have experience in PowerBI, Data Engineering, and have a strong understanding of data warehousing and business intelligence. The role will involve working with a team of data engineers to design, develop, and maintain data pipelines. You will also be responsible for creating and managing data models, and developing reports and dashboards using PowerBI. The successful candidate will be a highly motivated and self-directed individual with excellent communication and teamwork skills. They will also have a strong understanding of data analysis and visualization techniques. Responsibilities: Design, develop, and maintain data pipelines Create and manage data models Develop reports and dashboards using PowerBI Work with a team of data engineers to improve data quality and performance Provide technical support to users of PowerBI Qualifications: Bachelor's degree in Computer Science, Engineering More ❯

digital skills gap. What you'll bring to the table: Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics. With hands-on technical delivery of client-facing data projects across the full SDLC from design to migration, integration and live service in … a multi-vendor environment Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions … and ETL and migration technologies. This should be backed with strong cloud-native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc. Proven experience in quality assuring data programmes, including non-functional testing and performance tuning Hands-on experience of modern software delivery, including CI/CD More ❯