You will work with Azure DevOps Pipelines, CI/CD, Atlassian Confluence, Jira, PowerShell, Python, C#, SQL, and cloud deployments to Microsoft Fabric/Synapse/Azure, Snowflake, Power BI, and application security tools. You will help build automation, CI/CD pipelines, and release processes for in-house developed solutions at the Universities Superannuation Scheme pension scheme.

NatWest Group★3.7 (1.2k)· London

You'll work with Mainframe hardware (DASD, SAN/FICON, IBM z), automation scripting (Python/Shell), infrastructure as code, GDPS, and CI/CD pipelines. As part of NatWest Digital X, you'll engineer hardware solutions for the Mainframe environment, applying automation to improve products. This technical lead role guides a team but no team size is specified.

Design, configure and manage Mainframe Hardware solutions including DASD, SAN/FICON connectivity, and network infrastructure, using automation scripting (Python or Shell). You will engineer infrastructure-as-code for the Mainframe environment at NatWest Digital X, supporting hardware migrations between IBM z Mainframes and GDPS architectures. This is a technical lead role.

McKesson★3.5 (7.7k)· London

Senior Data Engineer: Snowflake, dbt, Airflow, ADF, Python, Databricks, Azure, AKS, Infrastructure as Code, CI/CD. You will own and build the ClarusONE data platform, designing scalable pipelines and establishing engineering standards for reliability, security, and compliance.

Senior Data Engineer role owning the ClarusONE data platform, building pipelines with Snowflake, dbt, Airflow, ADF, Python, and managing IaC on Azure/AKS. You will establish engineering standards, ensure data lineage and governance (SOX), and collaborate with Analytics, Data Science, and Software Engineering teams.

Design, build, and operate secure Azure cloud infrastructure using Terraform, Azure DevOps, Git, and scripting (PowerShell, Bash, Python). The role supports a reinsurance organisation’s global expansion in 2026, focusing on networking, deployment automation, and enterprise standards.

You will design, build, and operate AWS infrastructure, engineer Kubernetes environments (EKS, Docker, Helm), and use Terraform for infrastructure-as-code. You will support critical investment and trading systems, improve CI/CD pipelines with GitHub Actions and GitOps (Argo CD), and work with databases like Snowflake, Aurora, and SQL Server. You will take end-to-end ownership of production systems, solve complex problems across distributed environments, and influence cloud architecture and reliability standards.

Kubrick Group★2.8 (13)· London

You will work daily with Microsoft Sentinel, Microsoft Defender, EDR, Microsoft Purview, Intune, Azure, M365 and PowerShell. As a security analyst at a consultancy, you will lead internal Security Operations, incident response, vulnerability management, and security implementations across the Microsoft ecosystem.

Wipro★3.8 (17k)· London

Lead design and build-out of a managed container environment, migrating existing VM-based infrastructure (likely Kube, an internal Kubernetes/EKS cluster); work with Docker, Terraform, Ansible, RHEL, Bash, Python, and tooling like Prometheus, Grafana. The team at Wipro manages EMEIA cloud infrastructure and internal system connectivity.

NatWest Group★3.7 (1.2k)· London

You'll work with scripting and orchestration, Atlassian products (Jira, Confluence, Jira Service Management), Workato, Jamf Pro, MacOS, Google Workspace, Slack, GitHub, and IAM/SSO tools. As part of the Colleague Technology Services team, you'll automate and manage NatWest Boxed's internal technology environment and productivity solutions. This is a technical lead role.

You'll use scripting and orchestration tools, Atlassian products (Jira, Confluence, Jira Service Management), Workato, Jamf Pro, MacOS, Google Workspace, Slack, GitHub, and identity/access management tools. As part of the Colleague Technology Services team at NatWest Boxed, you'll manage and automate internal technology applications and operational processes to improve efficiency.

Circadia Health's ML Ops Engineer will work with Apache Airflow, AWS (Batch, EC2, S3, IAM, CloudWatch), MLflow, Docker, Python, Git, SQL, Snowflake, and edge devices. You own the ML infrastructure and pipelines for a clinical monitoring platform that identifies early signs of clinical deterioration using predictive models in cloud and edge environments.

You will work with Azure Infrastructure (Compute, Networking, Storage, Identity, Security), Terraform, Bicep, ARM Templates, Azure Monitor, Log Analytics, Datadog, CI/CD, PowerShell, and Azure CLI. You will lead a 6-month contract to migrate platforms to Azure, covering assessment, deployment, validation, and cutover. This role is for a consultant providing project-based migration execution.

Lead a hands-on engineering team building a greenfield Agentic AI Platform for banking workflows using Python, Java/Spring Boot, and Go, with LLM/agentic frameworks (Google ADK, LangChain), GCP, Vertex AI, Elastic, Pinecone, Databricks, Kafka, Kubernetes, and Terraform. You will drive architecture, code, and mentor a new team of software and ML engineers.

Precision Medicine Group★3.3 (8)· London

Lead a team of data, analytics, and platform engineers using Snowflake, modern data stack, DevOps/GitOps, and CI/CD. The Data Hub consolidates legacy data pipelines into a governed, scalable platform enabling AI/ML across the organization. You will build and scale the engineering team.

Lead a cross-functional team of data, analytics, and platform engineers building a centralized Data Hub to consolidate legacy data pipelines and enable AI/ML. Drive engineering delivery using modern data stack technologies, including Snowflake, transformation frameworks, orchestration tools, and DevOps/GitOps practices. You will own sprint delivery, capacity planning, technical architecture, production reliability, and cross-team dependencies.

Precision AQ★2.9 (23)· London

Lead a team building Precision AQ's Data Hub, a centralized platform consolidating legacy data infrastructure for governance and AI/ML enablement. You'll work with Snowflake, modern data stack transformation and orchestration tools, and DevOps/GitOps practices. The role involves building and scaling a team of data, analytics, and platform engineers.

You'll own a business-critical Snowflake (Cortex) platform for a global investment management firm, working with Terraform, SQL, RBAC, and cloud identity systems like Okta and Azure AD. Responsibilities include platform administration, security implementation (data masking, row-level security, audit logging), performance tuning, cost optimization, and acting as the Snowflake subject matter expert across the organization.

JPMorgan★3.9 (20k)· London

Senior Lead Data Engineer at JPMorgan Chase's Behavioral Insights Team builds and governs data pipelines and analytics products using SQL, Python, Tableau/Power BI/Looker, and cloud platforms like AWS and Snowflake. The role transforms operational and platform data into insights on reliability, risk, and delivery efficiency, serving engineering and business stakeholders through dashboards, reporting automation, and real-time views. You'll lead a team of junior data engineers and visualization researchers while managing SLIs/SLOs, data quality, compliance controls, and stakeholder communication.

As a Staff Engineer, you'll build APIs, workflow orchestration, and tool integration using Java, Spring Boot, JOOQ, SNS+SQS, Kafka, MySQL, PostgreSQL (RDS/Aurora) on AWS. You'll join the team building Tide's agentic platform to bridge backend systems with Generative AI for SME banking services.

Lead architecture of Tide's agentic platform, working with Java, Spring Boot, JOOQ, Kafka, AWS (RDS, Aurora, EKS), Docker, Terraform, DataDog, and GitHub CI/CD. You'll design shared services (context APIs, tool layers, policy controls, auditability) and build evaluation pipelines for AI reasoning and safety. Tide provides business accounts and administrative solutions for SMEs.

Entain★3.0 (2.3k)· London

You'll work with AWS, Snowflake, Prefect, Docker, Kubernetes, Python, and CI/CD pipelines to design and maintain MLOps and GenAI infrastructure for Entain's sports betting and gaming platforms. Your role involves building scalable ML platforms, frameworks, and operational capabilities that enable Data Science teams across the Enterprise DS&AI Centre of Excellence to deploy production-grade ML and AI solutions faster and more reliably. You'll lead technical initiatives, mentor engineers, and collaborate across multiple teams to advance ML infrastructure, AIOps, and enterprise AI capabilities.

You'll design and build integrations between AI platforms and corporate systems like Salesforce, Snowflake, and ADP using APIs, GCP, and Terraform. At Iterable, an AI-powered customer engagement platform serving 1,200+ brands, you'll operationalize AI tools like Gemini Enterprise, manage cloud resources, and partner with Enterprise Security on secure AI implementation. You'll report to the Senior Director of IT and balance development work with infrastructure operations including certificate management and DNS administration.