26 to 28 of 28 Azure Data Engineer Jobs in the UK

Senior Azure Databricks Data Engineer - Scalable Pipelines

Hiring Organisation
Jobleads-UK
Location
City Of London, England, United Kingdom
Ports North is seeking a Data Software Engineer to design and build Azure Databricks-based data solutions in London, hybrid working mode. In this role, you will design and build data engineering solutions leveraging Azure Databricks and related … Azure services, enabling efficient processing and transformation of large-scale datasets. You will collaborate with cross-functional teams to ensure the delivery of optimized, reliable, and scalable data pipelines aligned with business requirements. #J-18808-Ljbffr ...

Data Engineer - Risk Analytics (Azure & Fabric)

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
Eaglecliff Ltd in Kensington is seeking a Data Engineer focused on risk analytic workflows, building and optimising data pipelines, models and tooling that support critical risk processes within a modern data platform. You will design and evolve data pipelines, models … tooling, while collaborating with the platform team to deliver scalable ingestion frameworks and high-quality data products for a fast-paced trading environment. This on-site role requires 5 days/week in the Kensington office. #J-18808-Ljbffr ...

SC Data Engineers (SQL, PYTHON, AZURE, SSIS, SSAS)

Hiring Organisation
LA International Computer Consultants Ltd
Location
Swansea, West Glamorgan, United Kingdom
Employment Type
Contract
Contract Rate
GBP 500 - 600 Daily
government client is looking for Data Engineers to begin ASAP. Please see below for role description and details. - Hybrid, 2 days per week on site in Swansea, Wales - Inside IR35 - SC clearance required - 3-6 months initially + longer extensions expected Role details: To migrate Legacy IMPALA reporting … against the Legacy system, and supporting the pipelines once live. It is mostly SQL knowledge but some familiarity with Python on Databricks (in Azure) will be beneficial. Source data is already available in Databricks - you would be working with tables in Unity Catalog, not managing data ...