2 of 2 Permanent Data Engineering Jobs in Nottingham

Job Description Data Technical Specialist - Submarines Full Time Derby, Raynesway We are seeking a talented and highly motivated Senior Data Engineering specialist to join our Central Digital team. As a Data Technical Specialist, you will be recognised as an authoritative source of technical expertise and advice within the business for Data and viewed as a … key member of the broader team of technical expertise by senior leadership. You will be responsible for defining data management policies and procedures that ensure that data is properly collected, stored, maintained, and utilised, in line with the business strategy. This incorporates defining and managing data governance, quality, and retention policies. You will be responsible for designing … building and maintaining data pipelines and architecture that empowers data-driven decisions across the organisation. You will work closely with the cross-functional teams, including data engineers, data scientist, product teams to ensure data is seamlessly integrated, transformed and accessible for analytical and operational purpose. You will have depth and/or breadth of knowledge More ❯

Job Title: Data Engineer Location: Hybrid Contract Type: Permanent/Full-Time About the Role Are you passionate about technology and eager to make a real impact? At Buzz Bingo, we’re looking for a Data Engineer who thrives on innovation and enjoys working across a diverse technology stack. The systems you’ll support underpin both our in … club and online customer experiences, giving you the opportunity to influence how thousands of people interact with Buzz Bingo every day. What You’ll Do Data Pipeline Development: Design, implement, and maintain robust ETL/ELT pipelines for ingesting and transforming data from multiple sources. Data Modelling: Create and maintain models that support analytics and reporting needs … ensuring data integrity and consistency. Database Management: Administer and optimize relational databases for efficient storage and retrieval of large datasets. Collaboration: Work closely with software engineers, analysts, and business teams to deliver secure, reusable, and efficient data solutions. Data Quality Assurance: Implement checks and monitoring processes to ensure accuracy and reliability. Documentation: Maintain detailed technical documentation for More ❯