12 of 12 Remote Azure DevOps Jobs in the Thames Valley

our clients, which involves designing data pipelines, data integration and transforming data into models for downstream consumption. Key outputs for the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load … data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. • Troubleshoot and resolve any issues or errors in the … data pipelines. • Stay updated with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about More ❯

Contract Job Specification: Azure Engineer Role: Azure Engineer Location: London (Hybrid – on-site 2–3 days per week) Contract Type: Initial 6 months (extension likely) Day Rate: Competitive (outside IR35, depending on experience) About the Role We are seeking a skilled Azure Engineer to join our team on a contract basis. The successful candidate … will suit a hands-on engineer with strong technical expertise and a proven track record of delivering enterprise-grade cloud infrastructure projects. Key Responsibilities Design, build, and optimize Azure-based infrastructure and services. Implement and manage Azure networking, storage, compute, and monitoring solutions. Work closely with development and operations teams to support CI/CD pipelines … and infrastructure automation. Ensure security, compliance, and governance best practices are applied across cloud environments. Troubleshoot and resolve issues in Azure environments. Provide technical documentation and knowledge transfer to internal teams. Support migration of workloads to Azure and optimize existing deployments. Required Skills & Experience Proven experience as an Azure Engineer or Cloud Infrastructure Engineer. More ❯

in software development are adopted across projects. What You’ll Be Doing Designing and developing scalable backend solutions using C# and Python Building and deploying solutions within the Azure ecosystem (App Services, Functions, Logic Apps, AI Services, etc.) Creating and maintaining RESTful APIs, microservices, and event-driven architectures Implementing and optimising CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Applying DevOps practices and automated testing frameworks to ensure reliability and scalability Collaborating with cross-functional teams to translate business needs into robust technical solutions Exploring emerging technologies such as Generative AI, VR/AR, and edge computing to drive innovation What We’re Looking For 5+ years’ experience in … software engineering with C# and Python 5+ years of hands-on cloud-native development with Azure Strong experience with modern frameworks, version control, and testing practices Familiarity with agile delivery, including sprint planning and iterative development Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders Desirable Skills Experience with Generative AI (LLMs, LangChain More ❯

opportunity to shape the future of our technology landscape, driving efficiency through automation, enabling FinOps practices, and optimising cloud operations. The Role: Designing and implementing cloud solutions across Azure and AWS , supporting enterprise-scale transformation programmes. Developing Infrastructure-as-Code (IaC) and Compliance-as-Code solutions using Terraform, Ansible, Jenkins, Git, Azure DevOps, Docker … Kubernetes, and ARM templates. Building and maintaining monitoring platforms (LogicMonitor, Azure Monitor, CloudWatch) and integrating AIOps with ServiceNow. Delivering automation, APIs, and backend pipelines to support FinOps and governance initiatives. Working across virtualisation, storage, networking, and both Windows and Linux environments to ensure performance, resilience, and security. Collaborating with development and infrastructure teams, championing DevOps and … Proven ability to work across distributed systems and deliver scalable, reliable solutions. Excellent collaboration and communication skills, with the ability to guide and support teams. Official Certifications in Azure, RedHat, Kubernetes, Terraform, and Ansible . Academic background including a BEng in Telecommunications and Telematics, MSc in Machine Learning & Biotechnology , and a PhD in Generative AI (in progress) . More ❯

data integrity Desirable: Understanding of payroll processing complexities, tax calculations, compliance requirements, and integration with HR systems Experience implementing or managing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Experience with automated testing tools like Selenium or Playwright. Familiarity with containerisation technologies (e.g., Docker). Experience with cloud platforms (e.g., AWS, Azure More ❯

a business transformation setting, either at enterprise level or in large-scale delivery.Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience … with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud … automate and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to be a key team member of a diverse team of data engineers, fostering an environment that promotes professional growth and high performance More ❯

Python, .NET 8.0+, and Entity Framework -Experience with SQL Server, T-SQL, DML, and DDL -Familiarity with NoSQL databases - Experience with Kubernetes/Docker Desirable Skills -Experience with Azure DevOps -Experience with cloud platforms (AWS or Azure) -Knowledge of K8s Operators or Helm charts -Experience with messaging systems (e.g., Kafka) -Familiarity with modern web More ❯

a Team Leader, managing a team of Data Engineers on various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry … with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud … automate and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to inspire, lead, and manage a diverse team of data engineers, fostering an environment that promotes professional growth and high performance.Experience working withing More ❯

CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products & Transformation – Position reusable data products and architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration … strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation More ❯

essential criteria youll need is: Training or certifications in Azure. Databricks certified data engineer. Efficient in building data platforms and associated maintenance processes for enterprise solutions. Core cloud (Azure) based technical knowledge. Wide range of strong platform support and technical skills. (i.e. Azure DevOps, API creation, PowerShell, Python, SQL) Stakeholder management. Additional skills and More ❯

Analyst (Insurance): Proven track record of project delivery in business and systems analysis roles Strong experience within insurance, ideally 5+ years Strong agile software development methodologies and tools (Azure DevOps, JIRA, etc) Exceptional communication skills, able to bridge between business and IT teams Prior programming or scripting background (eg SQL, python, Java, .Net) This is an More ❯

influencing skills. Ability to balance business priorities with technical feasibility. Problem-solving and critical thinking capabilities. Strong organisational and prioritisation skills. Proficiency with agile delivery tools (e.g. Jira, Azure DevOps, Confluence). Ability to work collaboratively across cross-functional teams. Understanding of product lifecycle management. Strategic mindset with attention to delivery detail. Apply Now! Don't More ❯