2 of 2 Permanent Data Engineering Jobs in Aberdeen

We are looking for a hands-on, technically driven Data Engineer to join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from a Data Science or Data Engineering programme and is eager to apply their skills in a modern … forward-thinking environment. You will be responsible for developing and maintaining robust data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as … As the role sits within a relatively new department, where methodologies and processes are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices. Key Responsibilities: Database and Data Engineering Design, develop, and maintain SQL-based solutions and data pipelines. Manage relational databases, ensuring data can be More ❯

Our client is currently recruiting a Senior Data Engineer. Based in Aberdeen, the role is on a permanent (staff) basis and offers a hybrid working arrangement. ROLE Reporting to the Analytics and Integration Lead, the Senior Data Engineer will play a pivotal role in shaping the future of the Company's data analytics capabilities. RESPONSIBILITIES: Provision of … Pipeline engineering support across all Development Projects within the Company's portfolio. RESPONSIBILITIES Supporting Data Platform Program: Collaborate with cross-functional teams to maintain and enhance our modern data platform, leveraging your expertise in Synapse and data engineering techniques. Stay up to date with innovation: Understand best practice of data engineering and its … application, and stay up to date with emerging technologies in the data space Analyse, Model and Organise Data: Work with a range of stakeholders and business users to understand the use and utility of datasets and systems to then analyse, model and organise data from their respective source data systems into the medallion data lake More ❯