6 of 6 Permanent Azure Functions Jobs in the City of London

Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management Salary: £100,000 Location: Central London, 3 to 4 days onsite You will be joining a global technology consultancy to help design and deliver long-term, enterprise-grade data platforms that enable data-driven decision-making across … role where you will take ownership of pipelines, models, and performance. In this role, you will: Design, build, and maintain scalable data pipelines in Azure and Snowflake Develop and optimise ETL and ELT processes for batch and micro-batch workloads Build and enhance enterprise data warehouse models Write ...

Title: Azure Cosmos DB Admin and Developer- with python, pyspark, Cosmos, Azure Location: Hybrid, London UK (3days/Week Onsite) Duration: 6months+ Contract Inside IR35 The Role The DB Admin and Developer will play a critical role in designing and developing scalable, secure, and high-performance applications tailored … banking and financial services. This role involves architecting cloud-native solutions using Azure Cosmos DB (SQL API and Mongo API), implementing effective partitioning strategies, indexing, and consistency models to support real-time financial data processing. The developer will build reusable libraries and frameworks using C#/.NET or Node.js ...

ability to understand requirements with limited oversight. The role involves designing and building reusable Python libraries using PySpark/DataFrames, developing Python-based Azure Functions for microservices, and creating shared tooling to accelerate delivery across multiple teams. After completing the initial predefined work, the engineer will continue … Required Skills and Experience: Strong proficiency in Python. Experience with PySpark and DataFrame-based data processing. Solid understanding of SQL. Hands-on experience with Azure infrastructure. Good understanding of Containers, Microservices, and Functional design patterns. Experience working with Agile delivery processes. Experience with Terraform for infrastructure-as-code. Experience ...

annuities propositions, and providing collective fund solutions to third party customers. Job Purpose The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering … data products. Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery. Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain. Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities Work with ...

slow, and error-prone. We need a senior engineer who will become the day-to-day technical anchor of the platform – someone with strong Azure expertise who owns the production system end-to-end, can build features as well as infrastructure, and brings the operational discipline … need a generalist who leans platform, not an infrastructure specialist who only touches pipelines. What you’ll do Platform and Infrastructure • Own the Azure production environment end-to-end: resource provisioning, networking, identity and access management, secrets, backups, and cost management. • Build and maintain CI/CD pipelines (GitHub ...

build and deployment resources so that they can support products more effectively. Key areas of responsibility: Define and execute the engineering strategy across Azure cloud, integration, and legacy modernisation, aligned to the clients long-term digital roadmap. Design and deliver cloud-native solutions that scale efficiently, perform reliably … integrate seamlessly across business functions. Lead by example in Azure DevSecOps: create and manage pipelines (YAML), infrastructure-as-code (Bicep, Terraform), and container orchestration (AKS, Docker). Embed engineering best practice: implement CI/CD, code quality gates, automated testing, and observability from build to production. Guide platform evolution ...