5 jobs found

My client is looking for an experienced SQL Server Data Migration Engineer to join their remote team and deliver bespoke data onboarding, migration, and conversion projects. You will be responsible for designing and executing data migration solutions, ensuring the accurate, secure, and efficient transfer of data between systems click apply for full job details

UAT and Infrastructure Tester +Permanent opportunity +Hybrid working on site in London 3 days a week + 45,000 - 55,000 Skills: +Infrastructure Testing experience +UAT +AWS / Azure +Manual and automated testing experience We're looking for a Junior UAT & Infrastructure Test Analyst to support testing across business applications and core infrastructure platforms. This is a hands-on role for someone early in their testing career who wants broad exposure, real responsibility, and a fast learning curve - not just clicking buttons and logging tickets. You'll work closely with senior testers, engineers, and business stakeholders, supporting UAT delivery while gaining strong exposure to infrastructure and technical testing. Key Responsibilities UAT & Business Testing Support delivery of UAT cycles across multiple projects Execute test cases and scripts based on defined requirements Work with business users to coordinate and support UAT activities Log, track, and retest defects through to resolution Help produce UAT documentation and reporting Infrastructure & Technical Testing Support testing of infrastructure changes such as: Cloud migrations Network and platform upgrades OS updates and patches Assist with: Smoke testing Regression testing DR and failover test activities Validate system stability before production release Test Delivery & Quality Maintain test cases, test data, and documentation Contribute to continuous improvement of test processes Support automation and tooling initiatives where relevant Required Experience 1-3 years experience in software testing or UAT Basic understanding of: IT infrastructure Cloud platforms (AWS / Azure / GCP - exposure is fine) Networks, servers, or application platforms Experience using defect and test management tools (e.g. Jira, Xray, Zephyr, TestRail) Strong attention to detail and a structured mindset Clear communication skills and confidence working with stakeholders Nice to Have (But Not Essential) Exposure to infrastructure or technical testing Basic automation knowledge SQL or API testing exposure What's On Offer Broad exposure across business + technical testing Fast development path into Senior Test Analyst / Test Lead Hybrid working - real flexibility, not "remote but actually office" Strong training, mentoring, and career progression If you're an inquisitive, technically-minded tester who thrives in diverse environments and enjoys getting into the details that make systems stable and scalable - we'd love to hear from you. If you'd like to discuss this role in more detail, please send your updated CV to (url removed) and I will get in touch.

Data Engineer- £45,000- Remote About the Role As a Data Engineer , you will be a key member of our agile delivery team, working closely with clients to unlock the full value of their data. This is a hands-on role where you'll be designing and implementing data solutions using cutting-edge tools in the Azure ecosystem. You'll have the opportunity to develop your technical expertise while contributing to high-impact projects across a variety of industries. We operate with a Winning from Anywhere® philosophy, offering flexibility in where you work while maintaining a strong team culture through regular client site visits, company events, and collaboration opportunities. Key Responsibilities Deliver end-to-end data solutions, including acquisition, engineering, modelling, analysis, and visualisation. Lead and participate in workshops to gather requirements and engage with clients on both technical and business levels. Design and implement scalable, robust ETL/ELT pipelines using Microsoft/Azure technologies such as Azure Data Factory, Synapse, Databricks, or Fabric. Build and optimise data lake solutions using medallion architecture. Support cloud migration of on-premises SQL Server-based data platforms (SQL, SSIS, SSAS, SSRS). Develop reports, dashboards, and analytics solutions using Power BI. Provide ongoing support and enhancements to solutions post-deployment. Skills and Experience Essential: Proven experience in a Data Engineering or Data Warehouse Development role. Strong hands-on expertise with Azure/Microsoft and/or SQL Server technology stacks. Proficiency in ETL/ELT development using tools like Azure Synapse, Data Factory, Databricks, or Fabric. Advanced SQL and Python skills (DDL, DML, Stored Procedures, Notebooks). Understanding of lakehouse architecture and medallion design principles. Ability to work with large, complex datasets from multiple sources. Strong knowledge of BI and data warehousing concepts. Experience with Power BI for reporting and data visualisation. Excellent communication and client engagement skills. What We Offer Remote-first working model (Winning from Anywhere®) 25 days annual holiday Monthly home working allowance Set-up allowance for home office 24/7 virtual GP access Employee Assistance Programme (available 24/7) Company sick pay scheme Life assurance (4x base salary) Private health insurance after 1 year of service Enhanced parental leave and pay Cyclescheme and electric car scheme Opportunity to work with a 3 World Class Best Company* To apply for this role please submit your CV or contact Dillon Blackburn (see below) Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Burgers & Fries and Incredible Careers! We're the burger restaurant with the uncomplicated formula: burgers and fries cooked to perfection, with no frozen ingredients. And we've stuck to the same 'perfect and serve' philosophy since our family business began in 1986. We are seeking a highly capable and driven Data Engineer to join our dynamic data team. This role is pivotal in leading and initiating the migration of our data infrastructure from AWS to Microsoft Azure, shaping the future state of our data platform. You'll work at the heart of the business, enabling data integration, transformation, and reporting across a range of complex data sources. This is a strategic, hands-on role that requires someone who is not afraid to explore new technologies, drive change, and build future-proof data engineering solutions. You'll collaborate with cross-functional teams, manage data integrations, and optimize the performance of databases and cloud environments in a high-growth, fast-paced setting. YOUR RESPONSIBILITIES: Cloud Migration Leadership Play a key role in the execution of our data migration from AWS to Azure, working closely with the Solution Architect and Head of data to shape the technical approach and deliver scalable, cloud-native solutions. Evaluate existing data infrastructure and propose Azure-native solutions aligned to business needs. Define and lead the migration roadmap, collaborating with internal stakeholders and third parties. Advocate for innovation and drive adoption of Azure services, standards, and tools across the team. Apply and champion Azure Medallion architecture principles in future-state design. Data Ingestion & Integration Design and implement ingestion pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL). Ingest structured, semi-structured, and unstructured data from APIs, FTP/SFTP, cloud platforms, and file-based sources. Manage data integrations with suppliers, including file transfers and API-based solutions. Use Power Automate (Flow) to automate tasks like copying files from SharePoint or emails to SFTP. Provide third-line support for code issues and existing workflows, lead resolution of data failures and integration problems. Collaborate with stakeholders to define integration requirements and implement robust solutions. Data Transformation & ETL Build, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and other cloud-native tools. Develop reusable, scalable transformation logic to enable analytics and reporting needs. Apply data validation, cleansing, and lineage tracking throughout the pipeline lifecycle. Support both existing and future ETL workloads with strong SQL and scripting capabilities. Data Platform & Server Management Revamp and support existing database designs to enable a scalable migration to Azure. Introduce and enforce standards and governance around data structures and code. Optimize T-SQL code and SQL Server performance before deploying into production. Manage consistent data platforms across regions with a focus on reusability and modularity. Monitor and control database file growth, indexing strategies, and performance tuning. Develop scalable solutions based on both current and emerging business requirements. Data Cloud Operations & Resilience Lead initiatives in data cloud management, including usage monitoring and optimization. Configure and test disaster recovery processes, ensuring business continuity through backup and restore exercises. Archive or delete legacy data in line with governance and retention requirements. Delivery & Documentation Conduct data mapping exercises, analysing various sources and formats to design fit-for-purpose models. Create and present complete logical data models to both technical teams and business stakeholders. Participate in scoping future platforms and assessing legacy systems for migration to Azure. Perform functional and systems analysis, producing supporting documentation (e.g., flowcharts, data diagrams). Be the lead in discovery workshops, weekly stand-ups, and cross-functional solution delivery. YOUR TECHNICAL SKILLS & EXPERERIENCE Essential 6-10 years' experience working with SQL Server (including T-SQL development and performance tuning). Proven experience designing ETL/ELT pipelines, ideally in Azure Data Factory. Hands-on experience ingesting and transforming data in cloud environments (preferably Azure). Familiarity with Azure Medallion architecture or similar layered data designs. Integration experience with APIs, SFTP, cloud databases, and file systems. Comfortable working with Power Automate, SharePoint, and Office 365 integrations. Basic knowledge of C# or PowerShell for custom data integration tasks. Experience troubleshooting production systems and optimizing SQL workloads. Strong understanding of database administration, performance, and scalability. Cloud certification (e.g., Azure Practitioner or equivalent) is highly desirable. Desirable Experience working with notebooks and Python in Microsoft Fabric for data exploration, transformation, and pipeline development. Experience with AWS services and data environments, especially helpful for transition planning. Exposure to CI/CD, DevOps pipelines, and Git for data engineering workflows. Familiarity with data governance, quality management, and security practices. YOUR BEHAVIOURS & ATTRIBUTES Technically curious and excited by the opportunity to learn and adopt new tools. Naturally proactive and comfortable driving change in existing environments. Calm and solution-oriented in high-pressure or production-critical scenarios. Collaborative and open communicator who brings people on the journey. Able to travel occasionally within Europe to support cross-territory platforms and teams. LOCATION This role is based in our West London Office including some remote working