2 of 2 Remote Azure Data Factory Jobs in the South West

Data Engineer Salary: Up to £75,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design … and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using … Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised More ❯

initiative within Financial Services aimed at delivering a unified, trusted view of customer data. We're seeking a highly skilled Lead Databricks Engineer to design and implement scalable data pipelines that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance to support this critical programme. Lead Databricks Engineer: Key Responsibilities Build and maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta … Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze, Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring, logging, and error-handling frameworks. Integrate pipelines with downstream systems such as Power BI . Collaborate with analysts, business teams, and engineers to deliver consistent, well-documented datasets. Support deployments and automation via Azure More ❯