7 of 7 Permanent ETL Jobs in Edinburgh

into scalable, secure and high-performing data platforms, including Data Warehouses, Data Lakes and Lakehouse architectures. The role will involve building and maintaining robust ETL pipelines, producing clear technical documentation, and acting as a trusted technical voice within both the internal data team and with clients throughout the delivery lifecycle. ...

reporting requirements. Key responsibilities: Design and deliver Data Warehouses, Data Lakes and Lakehouse solutions Build data platforms primarily using Microsoft Fabric Develop and optimise ETL processes and data pipelines Work directly with clients to gather requirements and run technical workshops Translate business requirements into clear technical designs Support analytics and … Microsoft environment Hands-on experience with Microsoft Fabric, SQL Server and Power BI Strong SQL skills and experience with data modelling Experience building ETL processes and data pipelines Coding experience with Python, M or R Comfortable working in a customer-facing role Strong communication and problem-solving skills Desirable Experience ...

management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem ...

Azure & Data Engineering Build and maintain Azure-based data platforms using Microsoft Fabric Design and implement Data Warehouses, Data Lakes and Lakehouse architectures Develop ETL and data transformation pipelines Work extensively with SQL to model, optimise and query data Ensure solutions meet security, performance and scalability requirements Client & Delivery Focus … Engineer or Data Engineer Strong experience across Azure data technologies and SQL Exposure to Microsoft Fabric, Power BI and modern data architectures Experience building ETL processes and data pipelines Coding or scripting experience using Python, M or R Comfortable working in a customer-facing or consultancy-style environment Strong communication ...

spatial databases, automation, and data management. Essential skills and experience include: QGIS FME Form and FME Flow GeoServer ArcGIS Online Data handling, cleaning, and ETL procedures Python scripting – ability to automate GIS workflows or develop QGIS plugins. SQL proficiency – ability to write complex queries and manage spatial databases. Spatial database ...

Data Warehouse and related applications. Analysing, developing, delivering, and managing business intelligence reports in OAS and other tools Assisting in the design of the ETL process, including data quality, reconciliation, and testing Contributing to technical process improvement initiatives Supporting UAT processes by working with stakeholders to successfully sign-off business … and estimation of project work Transform data into meaningful insights and recommendations What you'll bring Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions ...

reliable pipelines and models. You will: Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation. Build and maintain high‐quality ETL pipelines using modern tooling and cloud‐native infrastructure. Develop robust data models and frameworks to support analytics, reporting, and product teams. Champion best practices across … strong fit if you bring: Must‐haves 7+ years’ experience in data engineering. Deep expertise in Python and SQL. Strong experience building ETL pipelines and distributed data systems. Solid cloud experience — ideally AWS (open to GCP). Orchestration experience (Dagster, Airflow, or similar). Experience with modern data warehouses such ...