5 Data Lake Jobs in Central London with Remote Work Options

A global boutique (re)insurance broker are looking for an experienced Azure Data Engineer to join their growing team, to act as the lead Engineer on the support and development of their brand-new next-generation data platform. This is a permanent role with hybrid working … incredibly digitally-driven and are fully operating on Azure, with no legacy systems. You'll be joining their small (but growing) Cloud and Data team as their sole Data Engineer, making this a role with huge growth potential. They're currently working with an external partner … flexible working hours. Requirements : Strong experience with Azure Data Services - Azure SQL database, Azure Data Factory, Azure Data Lake Storage, Azure Synapse, Azure HD Insight etc. Expertise in SQL programming, including designing and optimising complex queries and databases ETL process design using Azure more »

have been supporting professionals from the entertainment space for the past century. Lead a team of internal and 3rd party Application, Integration and Data Engineers to deliver world-class solutions for the organisation to manage its business activities, through understanding the business requirements and translating into technical solutions. … you will excel in this role: Integration Application architecture and design Azure cloud-based infrastructure solutions Azure Integration services, Azure API management Azure Data Lakes, Azure Synapse Networking, security and storage technologies Delivering a microservices architecture Developing and implementing RESTful APIs, microservices and UIs XML, JSON, Web APIs more »

This is an exciting opportunity for a Data Architect to join a growing Data & AI team. The successful applicant will work alongside architects and consultants to deliver high-quality data solutions to help customers become more successful in becoming a data-guided … platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data models … in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI Strong experience in SQL Good understanding of Azure infrastructure more »

A Data Platform Product Manager required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. You will be required to build strong relationships across the client and use … a strong commercial mindset and data expertise to define and execute the roadmap and backlog for the data engineering and products. Experience should include: Significant experience 3 years+ as a data business partner/manager/product owner/data analyst or … technical business analyst in a data platform domain Be an experienced subject matter expert within the data platform domain, with strong technical knowledge and demonstrable passion, including understanding on (some of): Data lakes, data marts, data warehousing (Azure Data more »

Data Engineer London - Hybrid working £55,000 - £60,000 A global leading HR staffing organisation based in London is currently looking to recruit a Data Engineer who will play a crucial role in designing, developing, and maintaining the data infrastructure that powers innovative solutions … within the client. We require an engineer who has a passion for data and has a good background in Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning … Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data more »