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 Excel, SQL, Python, R, Tableau, Power BI, and Azure AI Fundamentals. Newto Training provides a data analytics career programme with live instructor-led training, project work, and exam preparation for entry-level roles.

You will work with AWS, Python, SQL, ETL/ELT pipelines, data warehousing, and APIs. You will own the data platform for a company developing AI and machine learning products that help enterprise clients make decisions. You will start as a senior individual contributor with the opportunity to build and lead a future data team.

Cint★3.5 (13)· London

Use Python and SQL for statistical modeling and machine learning to optimize Cint's programmatic research marketplace (Cint Exchange). You will analyze marketplace dynamics, conduct A/B tests, and build predictive models to guide product and pricing strategy.

Hudson River Trading★4.5 (2)· London

You will work with Python, Pandas, NumPy, R, and MATLAB to apply statistical analysis and machine learning to vast quantities of market data. The team builds and maintains predictive trading models for the company's high-performance trading infrastructure. You will research, develop, and test order execution methods to increase trading efficiency.

Hudson River Trading★4.5 (2)· London

You will use Python, C++, Pandas, NumPy, R, or MATLAB to build and maintain predictive trading models. As an algorithm developer, you research and test novel order execution and model training methods, applying

Design, build and optimise ETL data pipelines using Databricks, PySpark, Python, and SQL for a leading global investment bank. You will work on large-scale enterprise data platforms in a fast-paced financial services environment.

Work with Python, DevOps, Linux, Pandas, NumPy, and relational/non-relational databases. You'll join the Vendor Data Group at a global quant firm to build and maintain mission-critical ETL/ELT data integration pipelines and tools for alternative commodity and macro data, collaborating with a trading team.

Develop end-to-end solutions in Python (pandas/numpy) for the Commodities RAD team, building data, research & trading platforms and tools for Portfolio Managers. Also use React/Angular for web frontends and SQL for databases.

Working with Core Python, Pandas, NumPy, Flask/FastAPI/Django, SQL, and Unix/Linux, you will build backend applications and data processing pipelines for trading and risk management within an investment banking environment, supporting risk calculations, trade workflows, and reporting.

SmartestEnergy★4.1 (15)· London

You will work with Microsoft Azure Data Platform, Microsoft Fabric, PySpark, SQL, Python, Azure DevOps, CI/CD, and Power BI to build enterprise-scale data pipelines and Data Lakehouse/Data Warehouse solutions. The team develops modern cloud-based data solutions supporting ETL/ELT processes across Medallion Architecture for SmartestEnergy’s energy digitisation and decarbonisation goals.

The Specialist Works★4.8 (5)· London

You will primarily work with Python, SQL, Azure, and the Adverity platform to create, monitor, and optimize data pipelines. You will be a key member of a dynamic media activation team, delivering bespoke marketing intelligence reports and ETL solutions for the agency's clients.

Columbia Threadneedle Investments★3.7 (34)· London

This role develops Python-based automation solutions and builds Power BI dashboards, using tools like Microsoft Fabric, Copilot, and Power Automate. You will join the Controllership function within Finance, a global team of about 70, to drive automation, data analytics, and process improvement for record-to-report activities.

Bloomberg★3.8 (1.1k)· London

Work with Bloomberg Terminal data, Python, visualization tools (Power BI, Tableau, Qlik Sense), generative AI, machine learning, automation, and advanced Excel. Support the Technology equity research team by building financial models and conducting investment research on AI companies including Alphabet and Meta.

bp★3.8 (5.2k)· London

Work hands-on with Python, SQL, C#, Spark/PySpark, Palantir Foundry, planlogic EOS ETRM, Stonebranch, and AWS to build and maintain backend services, RESTful APIs, front-end components, and data pipelines. You will support bp’s LNG Energy Trading and Risk Management applications, including bespoke solutions for trade capture, operations, analytics, risk, reporting, and finance. This Staff Engineer role also includes mentoring and line management of the engineering team.

Work with Microsoft Azure Data Platform, Microsoft Fabric, PySpark, SQL (T-SQL and Spark SQL), Python, Azure DevOps, and Power BI. You will build enterprise-scale data pipelines and support Data Lakehouse and Data Warehouse solutions for SmartestEnergy, a global energy company.

You will lead Azure Databricks architecture, designing enterprise Lakehouse solutions with Apache Spark, PySpark, Delta Lake, Azure Data Factory, Data Lake Gen2, Event Hubs, Synapse, Python, SQL, Terraform, and CI/CD. This is part of a major Energy & Utilities transformation programme, specifically supporting critical Energy Trading data.

SQL, MySQL, PostgreSQL, Doris Event, QuickSight, and possibly Amplitude, Mixpanel, GA4, Airbridge, Adjust, Airflow, dbt, Git or Python. You will own analytics schema, data models, and BI dashboards for ZYMIX, a Gen Z social super-app launching in the UK, bridging product analytics with data building.

Palo Alto Networks★3.8 (154)· London

You will work with Prisma AIRS, AI automation platforms, agentic developer tools (e.g., Claude Code), and data platforms (Salesforce, JIRA, Gainsight, Tableau). As a principal strategic advisor and AI Architect for the Prisma AIRS team, you architect scalable security solutions at the intersection of application security, data security, and the AI ecosystem for global enterprise accounts.

Bloomberg★3.8 (1.1k)· London

You will work with Python, SQL, PySpark, Pandas, NumPy, Airflow, dbt, Kafka, Iceberg, Trino, Superset, and data visualization tools. The Entity Data team manages core entity data for over 7 million public and private companies, supporting reference data and private markets; as Data Quality Manager you define and execute the quality strategy.

Microsoft★4.2 (9k)· London

Leads a team of analytical leads across EMEA, using data analysis, reporting, and data visualization to deliver client insights for Microsoft Advertising. The role involves managing data pipelines, automation, and cross-team collaboration to improve performance on Microsoft’s search, display, video, and retail media platform.

John Lewis & Partners★3.8 (3k)· London

You will work with SQL, Python, R, Adobe Analytics, Contentsquare, Amplitude, Tableau, Looker, and Dovetail to generate digital trading insights. This individual-contributor role sits within the John Lewis & Partners retail business, where you will deliver commercial insights to senior stakeholders to improve P&L performance. No team size or scope is stated.

Mastercard★4.0 (846)· London

You will work with LLMs, GenAI, Agentic AI, PowerBI, Qlik Sense, Tableau, AWS, Databricks, and Microsoft Azure, with Python and SQL preferred. Within Vocalink’s Data & Insights function, you will deliver data-led and AI-driven solutions for UK payment reporting and customized analytics.

Boston Consulting Group★4.2 (537)· London

Uses Tableau, Claude, and ChatGPT for recruitment analytics and insights. Leads global reporting and strategy for BCG X, the tech unit of Boston Consulting Group, a management consulting firm, to improve hiring and operational excellence. Team scope is not stated.

Capgemini★3.7 (11k)· London

Manage large-scale data programmes using cloud platforms, ETL/ELT, Power BI, Tableau, and Agile SAFe. The role focuses on insurance data management across policy, claims, underwriting, and customer domains, including integration with Guidewire and Duck Creek. You will lead cross-functional teams of data engineers, architects, and analysts.