2 of 2 Permanent Data Warehouse Jobs in Aberdeen

We’re partnering with a mission-driven HealthTech company to find a talented Senior Data Engineer. In this role, you'll work on healthcare data pipelines and platforms, with a strong focus on building robust ETL processes and scalable data architectures. You'll collaborate closely with cross-functional teams to deliver high-quality, reliable … data solutions that support impactful health outcomes. You will develop and maintain our data infrastructure, working with both data processing technologies and storage systems. Your commitment to best practices will be essential as you build secure data pipelines, implement efficient ETL processes following healthcare standards, optimise data workflows for performance … managing data in Azure, such as Azure Data Factory, Azure Databricks, or Azure Synapse Analytics Experience with data lake and data warehouse architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data 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 More ❯