5 azure data engineer jobs found in Remote

Toucanberry Tech is at the forefront of technology in the financial services sector, creating bespoke solutions for our clients. We pride ourselves on our agility, creativity, and the autonomy we give our teams to drive projects from conception to delivery. The Role We are looking for an Azure Platform Engineer to join our dynamic team. In this role, you will be instrumental in creating, managing, and optimizing cloud-based environments to support our core applications and services. You’ll work closely with software engineers, data scientists, and architects to ensure our platforms are scalable, secure, and reliable. Requirements Key Responsibilities Design, implement, and manage Azure cloud infrastructure, ensuring high availability and performance. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or ARM templates. Monitor and optimize the performance of Azure resources, implementing best practices for...

Full job description Toucanberry Tech is at the forefront of technology in the financial services sector, creating bespoke solutions for our clients. We pride ourselves on our agility, creativity, and the autonomy we give our teams to drive projects from conception to delivery.   The Role We are looking for an Azure Platform Engineer to join our dynamic team. In this role, you will be instrumental in creating, managing, and optimizing cloud-based environments to support our core applications and services. You’ll work closely with software engineers, data scientists, and architects to ensure our platforms are scalable, secure, and reliable. Requirements Key Responsibilities Design, implement, and manage Azure cloud infrastructure, ensuring high availability and performance. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or ARM templates. Monitor and optimize the performance of...

Data & AI Engineer - Outside IR35 Fully Remote | Up to £478.50/day | 6-Month Contract We're seeking an experienced Data & AI Engineer with strong Azure and data migration expertise to support a high-profile transformation programme. Active SC Clearance is essential. Key Focus Areas: Designing and delivering solutions using Azure data services Working with LLMs , AI tooling and advanced analytics workloads Implementing Microsoft Purview for governance, lineage and cataloguing Supporting data migration across complex Legacy environments Ensuring best practices around security, quality and scalability Requirements: Proven experience as a Data/AI Engineer Strong Azure data stack knowledge Hands-on experience with LLMs , Purview , and data migration Active SC Clearance (essential) Details: Outside IR35 Fully remote 3-6 month contract

Data & AI Engineer - Outside IR35 Fully Remote | Up to £478.50/day | 6-Month Contract We're seeking an experienced Data & AI Engineer with strong Azure and data migration expertise to support a high-profile transformation programme. Active SC Clearance is essential. Key Focus Areas: Designing and delivering solutions using Azure data services Working with LLMs , AI tooling and advanced analytics workloads Implementing Microsoft Purview for governance, lineage and cataloguing Supporting data migration across complex Legacy environments Ensuring best practices around security, quality and scalability Requirements: Proven experience as a Data/AI Engineer Strong Azure data stack knowledge Hands-on experience with LLMs , Purview , and data migration Active SC Clearance (essential) Details: Outside IR35 Fully remote 3-6 month contract

We are looking for a Data Product Manager on a 6 months contract. Key Responsibilities Product Ownership & Strategy Define and communicate the vision, strategy, and roadmap for data products. Translate business goals into clear, actionable product requirements. Prioritise features using value-based frameworks (eg, MoSCoW, RICE, WSJF). Own the product backlog and ensure continuous refinement. Delivery & Lifecycle Management Manage end-to-end delivery of the data product lifecycle from discovery and design to deployment and optimisation. Work with Data Engineers, Analysts, and Data Scientists to develop and iterate data products. Ensure products meet agreed KPIs and deliver measurable value. Use agile methodologies (Scrum/Kanban) to drive efficient delivery. Stakeholder Management Collaborate with business units to understand requirements, pain points, and opportunities. Present product...