Data Architect page is loaded Data Architectremote type: Hybridlocations: Edinburgh, GB: London, GBtime type: Full timeposted on: Posted Todayjob requisition id: JR2477Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable … Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Summary We are seeking an experienced Data Architect to lead, design and manage our modern data infrastructure, with a strong focus on Snowflake, data modelling, dbt, and data engineering. The ideal candidate will … play a key role in shaping AI-centric data solutions that support scalable product development, analytics, operational efficiency, and strategic decision-making.With an emphasis on Data as a Product, this role requires strong leadership, effective cross-functional communication, and a strategic mindset. In collaboration with the Head of Data, the incumbent will develop a robust operating model More ❯
Edinburgh, Midlothian, United Kingdom Hybrid/Remote Options
Aberdeen
public markets or alternative asset classes. About the Department Join Aberdeen's Investments department, where we help clients plan and invest with confidence for a brighter future. Our dynamic Data Tribe, led by the Chief Data Officer, is revolutionizing data accessibility and innovation through a cutting-edge Data Mesh architecture. Collaborate with passionate teams to unlock … powerful data insights that drive sustainable investment and fuel scalable growth. Be part of a forward-thinking environment making a real impact. About the Role As a Data Platform Engineer at Aberdeen, you will be at the heart of building and evolving a modern, cloud-based data platform using Azure, Snowflake, DBT, and Microsoft Fabric. Working within … a Data Mesh architecture, you will enable decentralized data ownership and empower domain teams through self-service data capabilities. Your expertise will drive the design, implementation, and automation of scalable, secure data solutions, ensuring high performance, governance, and compliance. This is a pivotal role where you will collaborate closely with cross-functional teams to deliver innovative More ❯
My client is seeking a Senior Data Engineer to play a pivotal role in designing, scaling, and maintaining data pipelines and Lakehouse architectures. You will collaborate closely with internal stakeholders and external partners to optimise existing systems, with a particular focus on enhancing fan engagement through digital platforms. Key Responsibilities Design and develop ETL/ELT pipelines in … Azure and Databricks, ensuring reliability and performance. Construct Kimball-style dimensional models to support analytics and reporting. Implement automated testing for data quality assurance and validation. Ensure compliance with data governance, legal, and regulatory standards . Collaborate with the wider Data team to optimise pipelines and enhance platform capabilities. Essential Skills & Experience Hands-on expertise with Databricks … Proven ability to build production-grade ETL/ELT pipelines , including integration with SFTP and REST APIs. Strong knowledge of Kimball methodology within Lakehouse frameworks. Advanced proficiency in Azure data services (ADF, ADLS Gen2, Event Hubs) and SQL. Excellent analytical and troubleshooting skills for datatransformation and quality assurance. Strong communication skills to translate technical concepts for More ❯