2 of 2 DemandTrendPermanent Data Warehouse Jobs in Lincoln

Data Warehouse Engineer Location: Newark Salary: £35,000-£40,000 A well-established organisation in the Newark area is seeking a Data Warehouse Engineer to take ownership of its centralised data platform. With a current team member transitioning out at the end of July, this role is ideal for someone confident in … range of ERP systems and an opportunity to shape the business's approach to data and reporting. Key Responsibilities: Manage and maintain the central data warehouse across multiple ERP platforms Develop and optimise SQL queries to support reporting and data access Build and maintain Power BI dashboards and visualisations Collaborate with internal teams … to understand reporting needs and translate them into data solutions Ensure consistency, accuracy, and performance across data pipelines and warehouse models Document and maintain clear data flows, models, and reporting logic Requirements: Strong experience with SQL (writing queries from scratch) Proven ability to manage and optimise data warehouse environments Hands More ❯

individuality drives our shared success, and we actively encourage you to bring your whole self to Apogee. JOB DETAILS ???????? ???????? ?????? ???? ?????????? ???? ??????????????????, ???????????? ???? ?????????????? We are looking for a strategic and hands-on data professional to take ownership of our data journey. Currently, data is fragmented across the business, with no single source of … truth, limiting our ability to drive insights and leverage AI. You will play a key role in introducing data governance, designing and building a data warehouse, and ensuring alignment with a major ERP transformation project. With a gap in Power BI and Power Apps expertise, we need someone confident in developing dashboards, apps, and scalable … with data governance tools and platforms to ensure data quality, integrity, and compliance across the organisation. Proficiency in SQL and experience with data warehouse technologies for managing, querying, and optimising large datasets. Experience with data analytics and reporting platforms, business intelligence solutions, and automation tools (e.g. Power BI, Power Apps, Power More ❯