3 of 3 Azure Data Factory Jobs in West London

Senior Azure Data Engineer

Hiring Organisation
Young's Employment Services Ltd
Location
West London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£80,000
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This … exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform ...

Lead Data Platform Engineer

Hiring Organisation
ARC IT Recruitment Ltd
Location
South West London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£90,000
Lead Data Platform Engineer A fast-growing financial technology business is expanding its data capability and is looking for an experienced data professional to help shape and scale its analytics platform. This role is ideal for someone who enjoys building robust data foundations and wants greater exposure to solution design and platform architecture. Youll be instrumental in evolving a cloud-based data environment, enabling reliable reporting, analytics, and downstream decision-making across the organisation. Working alongside product teams, engineers, and business users, youll translate complex requirements into resilient ...

Senior Data Engineer

Hiring Organisation
Lynx Recruitment Limited
Location
South West London, London, United Kingdom
Employment Type
Permanent
Salary
£85,000
Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making. What Youll Do: Build … test, and maintain ETL/ELT pipelines for structured and unstructured data. Design and optimise data warehouses, lakes, and cloud-native platforms . Implement monitoring, security, and compliance frameworks in line with regulations (e.g., GDPR, financial standards). Deliver high-quality datasets to analysts, data scientists ...