4 of 4 Permanent Azure Data Engineer Jobs in Central London

Azure Data Engineer Rate - up to £350/day Outside IR35 Location - 2 days a week onsite in Central London Duration - 6 Months + Likely Extension We are working with a well-established consultancy supporting a high-impact data transformation programme … client based in Central London. They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. Key Responsibilities - Azure Data Engineer: Design, build and maintain scalable ...

Senior Data Engineer Microsoft Azure data This is a new and exclusive opportunity for a Senior Data Engineer with strengths in Microsoft Azure data to be a key lead in strengthening, evolving, and modernising … core data platforms. Job details Title: Senior Data Engineer Technical Stack: Microsoft Azure data Location: London or Glasgow with 1 day a week in the office Industry: STEM Technology Permanent role salary £50- £70,000 dependant on skills and location ...

Requirements (Must Have Skills) 6 to 8 years of experience in data software engineering with a strong focus on Azure technologies Expertise in Azure Databricks development , including efficient handling of large datasets Strong working knowledge of Azure Data Factory … building complex ETL workflows Experience with performance optimization of data pipelines and distributed processing setups Proficiency in Scala development (hands-on experience highly desirable) Solid understanding of Azure services relevant to data engineering and cloud architecture Strong problem-solving ability with effective communication skills ...

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 ...