Work with Microsoft Fabric (Lakehouses, Warehouses, Dataflows, Pipelines), Azure (SQL, Data Lake, Data Factory), SQL, Python, and REST API/SFTP to build ETL/ELT solutions. You will deliver modern data integration solutions for a diverse portfolio of clients within RSM’s Global VAT Team.

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.

Infosys★3.8 (17k)· London

Work with Snowflake, GitHub, Octopus Deploy, Confluent Cloud, SQL, Kafka, and Fivetran. Lead the delivery of enterprise data management and integration solutions, managing scalable data platforms and pipelines for a global consulting firm. The role drives a data delivery team in a complex, cross-functional environment.

Fivetran★3.3 (8)· London

Senior Sales Engineer working with AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java, and databases like Oracle, SQL Server, Postgres, MySQL, and NoSQL. The role supports Fivetran’s Commercial sales team by understanding customer data replication needs and leading proof-of-value processes for the company’s automated data pipeline and transformation solutions.

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.

SQL, dbt (Cloud), BigQuery, Hex, Fivetran, Postgres, git, and Excel, supporting implementation of a modern data pipeline, warehouse, and BI stack. The team migrates legacy systems, builds automated reporting for Operations and Compliance, and supports the in-house platform.

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.

Design and maintain analytics data models in Snowflake and dbt, manage ingestion via Fivetran and Hightouch, and support Tableau semantic layers. This role is part of a delivery squad maturing a governed data warehouse to build trusted single source of truth data products for a Premier League football club.

You’ll work with SQL, Snowflake, dbt, Fivetran, and Claude to build the analytical foundation for Lendable’s US Loans team. You will own and improve data models supporting lending decisions, pricing, portfolio analysis, and investor reporting, and drive dbt model development to streamline insight generation.

You'll work with SQL, Snowflake, dbt, Fivetran and Claude to build the analytical foundation for Lendable's US Loans team, improving how data is structured, transformed, and consumed with analysts, product teams, and engineers.

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.

You will build and maintain end-to-end data pipelines and orchestration workflows using GCP, BigQuery, Python, SQL, Cloud Run, Dataform, dbt, Fivetran, Docker, Git, and CI/CD within a growing Data & BI function. The team develops a modern cloud data estate and an intelligence platform that turns raw information into commercial insight, including supporting AI/LLM-enabled workflows for classification and summarisation.

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.

You will own and build dbt models and the semantic layer, moving the team off legacy ETL (Talend) onto a modern stack with dbt, SQL, Airflow, AWS or BigQuery, and tools like Fivetran and Tableau. The data team supports a consumer technology platform used by millions and is mid-way through a warehouse modernisation program. You will be the first technical lead for a small data engineering team, coaching engineers and analysts.

The Senior Data Practice Lead works with SQL, Python, data modelling, transformation architecture, pipeline design, data testing, observability, CI/CD, and data governance. At YLD, a software consultancy embedding engineers in client teams, this role builds the data practice through hands-on delivery, client engagement, and mentoring. Reports to Head of Engineering.

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.

Houseful★0.0· London

Manage a small team (~3 engineers) on Databricks, DBT, Fivetran, Python, SQL, AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform, Kafka, ECS, and Kubernetes. The team scales a data lakehouse and builds infrastructure for data commercialisation products at Alto Software Group, a B2B SaaS company powering UK housing transactions. This is a 50/50 hands-on engineering and people-management role.

Houseful★0.0· London

You’ll build and scale the data lakehouse using Databricks, DBT, Fivetran, Python, SQL, AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform, Kafka, ECS, and Kubernetes. The platform powers analytics and AI across the business, supports new data commercialization products, and provides reusable infrastructure for engineering teams. The role modernizes a legacy SQL Server database by extracting data into the lakehouse and parallel stores.

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.