Work with Microsoft Azure data platforms: Azure Synapse, Azure SQL Server, Azure Data Factory, Azure DevOps, Microsoft Fabric, and OneLake; also uses DBT and Spark. You will modernize core data platforms—ingesting data from MS Dynamics CRM, Finance & Operations, and SAP SuccessFactors—to power analytics, AI-driven insights, and executive decision-making.

Design, develop and enhance enterprise Power BI dashboards and reports using DAX, Power Query (M), SQL Server, Azure SQL, and Power BI Service. This contract supports a Financial Services consultancy delivering reporting solutions for a Wealth Management client. The lead role integrates data from multiple source systems into scalable Power BI dashboards and semantic models.

WNS, a Business Process Management company, seeks a Lead Data Engineer with 10+ years experience to develop features and drive architectural decisions on their cloud delta lakehouse platform using SQL Server, SSIS, T-SQL, Azure Data Factory, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, and Delta Lake. The role involves mentoring junior engineers, establishing engineering standards, and leading complex data warehouse initiatives within an agile team in central London.

You will work with Azure Data Factory, Snowflake, Power BI, SQL, and optionally Python, Power Automate, Azure Functions, and Logic Apps. As part of a collaborative technology team, you will build scalable data pipelines, business intelligence dashboards, and automated workflows to support a financial services organisation’s key business functions.

You'll use Azure Data Factory, Azure SQL, ETL processes, and Kimball methodology to design data pipelines and build a scalable enterprise data warehouse. You'll join the Data & Analytics team at a SaaS business to optimise a centralised warehouse for reporting and analytics, working with Azure DevOps and modern deployment practices.

Lead evolution of a global data landscape onto a primarily Microsoft platform (Azure Data Lake, Databricks, Azure SQL, Power BI Premium, data mesh/fabric). Manage the transition, own the tech stack, and drive data governance and cultural change. Reports to Director, Technical Operations.

This role uses Power BI, Microsoft Fabric, SQL, ETL/ELT pipelines, and databases such as SQL Server and Azure SQL. The person will report to the Data Architect, building data pipelines and dashboards to generate insights that support the CII’s member services and strategic goals.

You will work with Databricks, PySpark, Azure Synapse, Data Factory, Azure SQL, Python, and C#, applying Medallion architecture and dimensional data modelling. This contract role supports an international client’s Azure data engineering project with a strong view to extend beyond the initial six months.

As a .NET Developer you will work with .NET, .NET Core, C#, Azure SQL, and a CMS such as Sitecore, Optimizely, or Umbraco. You will develop complex enterprise .NET projects in tandem with Microsoft’s consultants. This role is on an award-winning .NET development team building revolutionary software solutions.

Work with .NET 10.0, ASP.NET Core, C# 14, Blazor, JavaScript, React, Microservices, Azure, and Azure SQL. You’ll design and develop a new .NET/C# investment banking application for a global bank. This is a graduate developer role.

CommCare, Microsoft PowerApps, Power BI, and SQL Server Azure. The role develops, implements, and supports IRC’s global technology tools for organizing and analyzing program data.

Work with Azure Data Factory, Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps using Kimball methodology. You will lead design and build of a centralized Data Warehouse for a SaaS company, creating scalable ETL pipelines and enforcing data governance.

Python and SQL for data wrangling, ETL/ELT pipelines; cloud platforms (AWS, Azure, GCP); data modeling, MDM, API integrations. You'll design data infrastructure and pipelines across client engagements in a Data & AI consulting team.

Work with Azure (AKS, ACR, App Service, Functions, VNets, APIM, Front Door, Key Vault), Terraform/Bicep, GitHub Actions/Azure DevOps, Docker, and observability tools. Build and operate Azure-based CI/CD platform across multiple products for IP Development.

Develop enterprise-grade software using C#, .NET, Azure, SQL, JavaScript, Angular, and Docker. Collaborate with cross-functional teams to design, maintain, and troubleshoot applications while conducting code reviews and upholding high engineering standards.

You will work with Microsoft Azure, Terraform, AKS, Azure Container Apps, Docker, Azure DevOps CI/CD, PowerShell, and Azure SQL, plus monitoring and observability tooling. The role is with a rapidly growing London fintech, joining a collaborative engineering team to build automated cloud infrastructure and influence technical strategy. You will also mentor junior engineers.

Design, build, and maintain Azure-based data pipelines using T-SQL, Azure Data Factory, Azure SQL Server, and Azure DevOps with CI/CD. The role supports a national centre of excellence for educator training, building infrastructure for ongoing research projects and wider organisational needs.

Work with Databricks, Azure Data Factory, Delta Lake, SQL/T-SQL, Python, PySpark, ADLS Gen2, and Azure DevOps. You will design and maintain scalable data pipelines for Wealth Management Europe’s Data Lakehouse platform, turning raw financial data into actionable insights.

Work with Azure, AKS, Azure Container Apps, Docker, Terraform, Azure DevOps, PowerShell, and Azure SQL to design, build, and maintain secure, scalable cloud infrastructure for a rapidly scaling fintech platform, enabling faster software delivery and improving developer experience.

Designs and delivers enterprise-scale Azure solutions using .NET/C#, APIs, microservices, Azure Functions, Logic Apps, Service Bus, Event Grid, API Management, Azure SQL, and App Services. Works as a hands-on technical lead for a global insurance business, mentoring engineers and shaping integration and engineering standards.

LSEG★3.7 (402)· London

Design, build, and maintain scalable Azure cloud infrastructure using Terraform, Python, Bash, and SQL. The role enables data platforms (Databricks, Event Hubs, ADLS Gen2) with CI/CD pipelines, containerization (Docker, Kubernetes), and Linux administration for a global financial markets infrastructure company.

Liberis★4.2 (5)· London

You'll work with Python, DLT, BigQuery, SQL, Airflow, DBT, and Terraform on GCP, building ML feature pipelines and event streams. The Data & Insights team builds composable data platforms that ingest partner transaction data to power analytics and real-time ML models, enabling data-informed decisions at this fintech providing embedded finance for small businesses.

You'll work with C# and modern .NET 8+, Blazor, microservices architecture, Azure (App Service, Container Apps, SQL, Service Bus, Key Vault), Terraform, Azure DevOps Pipelines, and AI integration tools like Claude Code. The team builds AI-powered damage assessment and reporting software for insurers and contractors in UK and Australian property and insurance markets. This is a hands-on backend engineering role with a clear path to technical leadership and architecture ownership within 12-18 months.

Distyl is an applied AI company deploying AI-native operations for enterprises in telecom, healthcare, insurance, and manufacturing. As AI Strategist, you'll lead customer engagements end-to-end—identifying where AI drives impact, scoping projects, and owning adoption and measurable outcomes alongside technical leads and cross-functional teams. You'll need Python or SQL proficiency, complex stakeholder management experience, and comfort navigating enterprise data and ambiguity; expect 25–75% travel.