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.

Principal Data Engineer role using GCP, Python, Node.js, BigQuery SQL, and Jenkins CI/CD. The team enables Sky’s growth through Data and AI, deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. The role provides technical leadership, managing Solution Architects and setting engineering standards.

TypeScript, React, Node.js, Bun, Kubernetes, and AWS. The team builds web apps, back-office systems, and tooling for financial product comparison across money.co.uk, Uswitch, and Confused. As a Staff Software Engineer, you set technical direction for Financial Services.

Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

You will own the dbt project (models, tests, CI/CD) and work with BigQuery (or Snowflake/Redshift), advanced SQL, and a BI tool like Looker or Metabase. As an Analytics Engineer for a £100m+ D2C e-commerce brand, you'll transform raw data into trusted dashboards that drive marketing, finance, and operational decisions.

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.

Build and maintain scalable data pipelines (BigQuery, Cloud Composer, Airflow, Dataflow, Spark, Flink, dbt) on GCP for AI/ML experiences. Use Docker/k8s, Terraform, SQL, shell scripting, and monitoring tools (Monte Carlo, Looker, NewRelic, Splunk). Collaborate with product engineering, data science, and business teams.

You'll build scalable data infrastructure for AI applications using Python, SQL, Spark, dbt, LangChain, and cloud platforms (AWS, Azure, GCP), working with data pipelines, embeddings, vector search, and LLMOps tools like Terraform and LangSmith. QuantumBlack, McKinsey's AI division, develops next-generation AI systems and enterprise solutions for clients across industries. You'll collaborate with Data Scientists and ML Engineers in cross-functional Agile teams based in London, supporting the firm's AI adoption and complex problem-solving at scale.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

Capgemini★3.7 (11k)· London

Design, build, and manage data pipelines and models using AWS Snowflake, Azure Data Lake, Databricks, Redshift, and BigQuery. Automate CI/CD with Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, and provision infrastructure with AWS CloudFormation, Docker, ECS, EKS, and Kubernetes. Capgemini is an AI-powered global business and technology transformation partner.

LiveScore Group★3.4 (14)· London

You will build and deploy robust data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Bigtable, Spanner, Airflow, Terraform) and Python or SQL. As part of LiveScore Group's Data Team, you will develop scalable data systems for real-time AI/ML workloads that power sports media and betting for brands LiveScore, LiveScore Bet and Virgin Bet.

LiveScore Group★3.4 (14)· London

Use GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Bigtable, Spanner, Firestore), SQL, Python, Terraform, Airflow, Docker and AI tooling. You will lead the data team in designing scalable pipelines, data models and real-time systems that power sports media and betting brands.

Lloyd's Register★3.7 (276)· London

The Senior Data and Insight Scientist uses SQL, Python, R, cloud platforms (GCP/BigQuery), dbt/Dataform, Git, and BI tools (Looker Studio, Tableau, Power BI) to lead analytics for the Lloyd’s Register Foundation, supporting the World Risk Poll and Global Safety Evidence Centre by transforming complex data into actionable safety insights.

Quantiphi★3.3 (60)· London

As an AI Engineer at Quantiphi, you will work with the GCP stack (AlloyDB, GCS, GKE, Gemini Enterprise, Agent Platform, BigQuery, Cloud Run, Vertex AI Pipelines), advanced Python, and tools for agentic AI, MLOps (Kubeflow, Docker, Kubernetes), and CI/CD. The company is an Applied AI and Big Data services firm delivering industry solutions across Healthcare, Financial Services, and more, with a focus on Generative AI and Agentic AI.

You will work with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Bigtable, Spanner, Firestore, Cloud Composer, Vertex AI), SQL, Python, Terraform, Airflow, and Docker. The data team builds scalable, real-time data pipelines and AI/ML workloads to power sports media and betting products for LiveScore, LiveScore Bet, and Virgin Bet. You will lead architectural decisions, own data-solution design, and mentor engineers.

You will work with GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Bigtable, Spanner, Firestore), Cloud Composer, Airflow, Docker, Terraform, Python, and SQL. The team builds scalable data pipelines and models to power real-time AI/ML workloads for LiveScore’s sports media and betting brands.

You will work with SQL, Python, R, GCP/BigQuery, dbt/Dataform, Git/GitHub, BI tools (Looker Studio, Tableau, Power BI), and Shiny. The role provides analytical leadership for Lloyd’s Register Foundation’s evidence‑led safety mission, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre.

Lloyd's Register★3.7 (276)· London

You will work with SQL, Python, R, GCP/BigQuery, dbt or Dataform, Git/GitHub, and BI tools like Looker Studio, Tableau, or Power BI. You will provide analytical leadership across Lloyd’s Register Foundation, supporting flagship programmes including the World Risk Poll and the Global Safety Evidence Centre. In this senior individual contributor role, you will lead high-quality quantitative analysis and translate findings for non-technical audiences.

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.

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.

Zendesk★3.8 (81)· London

Senior Sales Engineers at Zendesk configure Agentic AI workflows using prompt engineering, Zendesk’s AI features, JavaScript, Python, Node.js, HTML/CSS, REST APIs, and webhooks. They lead technical deal cycles, execute technical discovery and POCs, and deploy reusable tools for enterprise and commercial accounts to prove the value of Zendesk’s CX/ES platform and autonomous agents. No team size is stated.

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Work with Google Cloud Platform, BigQuery, SQL, Python, Looker, and Salesforce Marketing Cloud/CRM within a data & tech solutions team at the UK's largest independent media agency. You'll design scalable data pipelines, integrate marketing platform data, and build cloud-based solutions that power client reporting, campaign activation, and business insights.

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 SQL (ideally Google BigQuery) and dashboard tools like Looker or Tableau, plus machine-learning and rule-based fraud prevention tooling (e.g. Ravelin, Sift, Signifyd). As part of Spotify’s Revenue Protection Operations team, you will tackle payment fraud, chargebacks, creator onboarding and platform misuse to protect revenue and partner trust.