4 of 4 Data Lake Jobs in Basingstoke

High-calibre IT Managed Services Provider seeking an Azure Data Engineer to join their expanding applications team. In this role, you’ll support a crucial reporting project and play a key part in driving business transformation with the very latest Microsoft cloud technologies. The ideal candidate will have extensive experience as a data engineer within large … on solutions to internal clients. Stay updated with technology trends and actively participate in solution delivery. Required Technical Skills: Proficiency in Azure Data Platform (Data Lake, Synapse Analytics, SQL Database, Data Factory). Strong knowledge of Power BI and Microsoft reference architectures. Experience in Data Platform Design and Azure DevOps. Understanding … of Azure data integration technologies and Modern Workplace. Experience with Fabric would be beneficial. Other Experience: Deploying Azure solutions using CI/CD pipelines. Data integration, analysis, modelling, cleansing, and enrichment. Working with remote teams. Proficiency in SQL and Python. Knowledge of Data Governance, including MDM and Data Quality tools. Please note More ❯

database strategy, ensuring availability, cost efficiency, security, recoverability, and resilience, ensuring compliance with regulatory standards (e.g., GDPR, PCI-DSS). You will maintain operational availability and performance of data platforms, including the management of third-party DBA service provider relationships. You will play a pivotal role in leading incident resolution and conduct root cause analysis. BAU activity will … Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Troubleshooting and resolving database issues using both native tools and third-party platforms (e.g. SolarWinds SentryOne) Modern data lake solutions – Azure Data Lake, dedicated SQL Pools, Delta Live Tables, Microsoft Fabric Azure processes (Data Factory, Data Sync, Logic Apps) Deep knowledge … recovery planning Version control and DevOps workflow Performance tuning and query optimisation Desirable Microsoft or cloud-based certifications (e.g. Azure Database Administrator Associate or equivalent) Python for scripting, data manipulation or automation tasks Experience with data comparison and synchronisation tools e.g.Redgate Structured and semi-structured data formats, including JSON, XML, Hive tables, and Parquet More ❯

Social network you want to login/join with: We’re working with a forward-thinking Microsoft partnered consultancy who are looking for a Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects on Databricks implementations. You will join a team … at the centre of a number of data-driven projects where you will be responsible for the design, development and creation of data solutions. You will work on the full end-to-end product lifecycle from platform design to insights creation. This is a fantastic opportunity for someone who is passionate about building scalable, high-performance … and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to £60,000 • 100% remote working with flexible hours More ❯

Senior Test Automation Engineer - Data Salary: £53,460 - £69,500 Join Our Team as a Senior Data Test Automation Engineer at Hawk-Eye Innovations Are you passionate about cutting-edge technology, sports, and driving quality? At Hawk-Eye Innovations, we revolutionise sports through innovative solutions, from computer vision to video replay systems. Our technology shapes officiating … data insights, broadcasting, and entertainment across global sports. Join our agile, cross-functional teams to enhance testing practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with … strategies for AWS data lakes (e.g., S3, Glue, Athena) with a focus on schema evolution, data quality rules, and performance benchmarks, prioritizing data lake testing over traditional SQL approaches. Automate data tests within CI/CD workflows to enable continuous build, validation, and deployment. Create tools for synthetic data More ❯