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.

Use Python, SQL, graph databases, Docker, Kubernetes, and LLMs to own Kharon’s risk-propagation engine that evaluates entities in a knowledge graph and surfaces risk signals. The role spans research, data engineering, and product to evolve a production system for global security analytics.

Use Python, SQL, BM25, vector search, reranking, and RAG pipelines to evolve Kharon's Corestream risk intelligence feed—a platform surfacing entity-level insights and topic-based risk narratives, integrating graph-based outputs into semantic search and narrative generation.

You will build AI agents using Python, SQL, Docker, Kubernetes, AWS (RDS, EKS, S3), GitHub Actions, RAG pipelines, BM25, vector search, hybrid retrieval, and knowledge graphs. These agents interpret geopolitical and financial signals for Kharon, a company providing global security risk intelligence.

Work with Python, SQL, BM25, vector search, reranking, RAG pipelines, agentic systems, and graph-aware search. Own and evolve Corestream, Kharon’s risk intelligence feed that surfaces entity-level insights and topic-based risk narratives for global security clients.

Build backend systems with Kotlin or Java, Kafka, PostgreSQL, Redis, and microservices for a crypto savings and crypto-backed lending platform. This hands-on technical lead defines architecture, remains close to the code, and leads a small team of engineers.

Work with Azure (API Management, Logic Apps, Service Bus, Functions, Data Factory, Synapse), .NET/C#, PowerShell, SQL/NoSQL, and AI tools like GitHub Copilot. You will design and develop secure data integrations across the Azure middleware estate for the All England Lawn Tennis Club, which stages The Wimbledon Championships.

Backend engineers use Python, Django, Django-REST-framework, GraphQL (Graphene), Celery, Postgres, and AWS (Packer, Consul, Terraform). They build and maintain the AI-driven energy management platform that powers utilities and optimises renewable generation. The global engineering team is around 1,400 people.

Virtusa★3.7 (1.1k)· London

Work with Snowflake, DBT, Python, SQL, and AWS services to build enterprise data platforms. The role supports a global pharma engagement, designing scalable data solutions for advanced analytics, clinical insights, and business intelligence.

Snowflake, DBT, Python, SQL, and AWS. Leads architecture of enterprise data platforms for a global pharma engagement supporting clinical insights, business intelligence, and data governance.

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.

CHAMBERS & PARTNERS★3.2 (19)· London

You will work with firewalls, SIEM, IDS/IPS, EDR, vulnerability scanners, cloud security (Azure, AWS, GCP), identity management (Entra ID/Azure AD, PAM), and frameworks like ISO 27001 and NIST. Leading the development and delivery of Chambers & Partners’ information security programme, you will protect systems, data, and digital assets. As the security function grows, you may build and lead a dedicated team.

McKinsey & Company★4.2 (952)· London

You will work with AWS, Databricks, SIEM, vulnerability scanners, firewalls, IAM, IDS/IPS, and DevSecOps tooling while driving Secure Development Lifecycle and cloud security policies. You act as the security point of contact for McKinsey’s Social, Healthcare and Public Entities (SHaPE) Practice, reporting on compliance and KPIs.

AXA★3.9 (2.9k)· London

Design and implement secure architectures for enterprise security and AI/ML initiatives across AXA, using Docker, Kubernetes, cloud security, API security, micro-services, MLOps/MLSecOps platforms, threat modeling, and SSDLC. Defines technical security standards and reference architectures aligning with frameworks like NIST AI RMF and ISO/IEC 42001. Reports to the Chief Security Officer.

Use Segment, Braze, and SQL daily for ETL/reverse-ETL, audience building, and data hygiene. The role sits in the Data Intelligence function, ensuring clean data flow between the CDP and CRM platform for marketing teams.

This is a partnerships and business-development role, not a hands-on engineering position. You will work directly with founders, ML researchers, and scientists to create a global data-acquisition strategy for the company’s AI biology models. You will identify, negotiate, and secure complex data partnerships with health systems, biobanks, academic groups, and pharmaceutical companies.

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.

Parloa★3.0 (1)· London

You will build CFO-grade ROI models using Excel/Sheets (NPV, IRR, TCO) to quantify value for enterprise deals. As part of the Value Engineering team, you shape financial narratives behind Parloa's agentic AI platform that powers customer conversations for brands like Booking.com and Allianz.

Insulet Corporation★3.1 (189)· London

Lead a globally distributed MuleSoft engineering team owning the AI Enablement Integration portfolio. The role works with MuleSoft Anypoint Platform, AI Gateway, Model Context Protocol (MCP), Agent Fabric, CloudHub 2.0, and Flex Gateway to make enterprise systems and APIs securely available to AI agents and automation platforms.

Sovos★3.3 (105)· London

Design and build Snowflake architecture and dbt model infrastructure for the topline financial data chain (billing, ARR, revenue recognition) at Sovos, a global tax compliance leader. Use advanced SQL, dbt, and optionally Python, Azure/AWS, and MCP to deliver production pipelines that support FP&A, Accounting, and AI consumers through financial close.

You will lead a small cross-functional data pod building data pipelines, models and services in Python, SQL and Snowflake to turn supply chain data into customer-facing sustainability insights. The role combines hands-on data engineering with technical leadership and line management of the pod's engineers.

Work with Segment, Braze, SQL, and ETL/reverse-ETL to own data hygiene, audience creation, and platform integration. This role sits in Spotlight Sports Group's Data Intelligence function, ensuring clean, reliable data flow between the CDP and CRM for marketing and product teams. The company is a global media and technology firm focused on racing and sports betting.

Design and build the Snowflake schema and dbt model architecture for the financial data pipeline, owning ingestion, transformation, and close-ready outputs for FP&A and Accounting. You will also extend dbt models for OPEX, COGS, and commissions, and integrate CRM/ERP systems like NetSuite or Salesforce. This role supports Sovos’ global tax compliance platform.

You will use SQL, Python, Spark/PySpark, Pandas, orchestration tools, AWS/Azure platforms (Databricks, Redshift, Microsoft

Insulet Corporation★3.1 (189)· London

You will lead a globally distributed MuleSoft engineering team, using MuleSoft Anypoint Platform, AI Gateway, MCP, Agent Fabric, API-led connectivity, CloudHub 2.0, and Flex Gateway to build secure, governed integration capabilities for enterprise AI agents, automation, and intelligent workflows. This role owns the AI Enablement Integration portfolio at Insulet, a company pioneering “Liveable Technology” to transform diabetes care.