2 of 2 Data Pipeline Jobs in Knutsford

arisen to join our Business Intelligence (BI) Team as a BI Technical Engineer at The Veterinary Defence Society (VDS). Youll play a pivotal role in shaping our data and reporting capabilitiessupporting informed decision-making, improving service delivery, and helping our teams make the most of data. This position combines data engineering, analytics, and stakeholder collaboration … offering an excellent opportunity to grow within a forward-thinking organisation. Key Responsibilities Design, develop, and maintain robust data pipelines into the data warehouse Create and maintain consistent business-wide data definitions and KPIs Develop interactive dashboards and reports to support data-driven decision-making Analyse data to uncover trends … patterns, and insights Collaborate with IT, Finance, Marketing, Compliance, and Operations teams Present insights and reports to senior leadership Identify and address data quality issues and improve data processes Contribute to project teams, ensuring data requirements are addressed from the outset Continuously improve BI tools and data engineering practices Required Skills & Experience More ❯

Agile Methodology and adherence to change delivery controls. Experience engaging with stakeholders, hosting forums/meetings to gather business requirements, and creating action plans based on those requests. Data analysis and reporting skills, including Jira/JQL Reporting, taxonomy, Navigator/Tableau reporting. Other valued skills include: Good communication skills. Presentation skills, with the ability to present data … technology, as well as job-specific technical skills. This role offers the option to work from either the Knutsford or Northampton office. Purpose of the role To implement data quality processes and procedures, ensuring data is reliable and trustworthy, then extract actionable insights to improve operations and optimize resources. Accountabilities Investigate and analyze data issues related to quality, lineage, controls, and authoritative source identification. Execute data cleansing and transformation tasks to prepare data for analysis. Design and build data pipelines to automate data movement and processing. Develop and apply advanced analytical techniques, including machine learning and AI, to solve complex business problems. Document data More ❯