Vallum Associates

DevOps Engineer (Bank/FS)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a DevOps Engineer (Bank/FS) based in London, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure, Terraform, CI/CD pipelines, and big data technologies. Experience in financial services is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Databricks #Azure #Scrum #Bash #Scala #Infrastructure as Code (IaC) #Python #Terraform #Data Management #Kubernetes #C# #GitLab #Azure Data Factory #Azure DevOps #Deployment #MDM (Master Data Management) #ADF (Azure Data Factory) #Big Data #API (Application Programming Interface) #HDFS (Hadoop Distributed File System) #Spark (Apache Spark) #Data Pipeline #TeamCity #Data Engineering #"ETL (Extract #Transform #Load)" #Agile #Jenkins #Automation #Cloudera #JavaScript #Vault #Scripting #Azure cloud #Monitoring #Data Governance #Java #Cloud #Security #Data Processing #DevOps
Role description
Role Overview We are seeking an experienced DevOps Engineer to join our growing technology team in London. The successful candidate will be responsible for designing, implementing, and supporting scalable cloud infrastructure and CI/CD pipelines for a modern Azure-based data platform. This role involves working closely with engineering, architecture, and data teams to automate deployments, improve platform reliability, and support high-volume data processing environments. The ideal candidate will have strong experience with Azure, Infrastructure as Code, DevOps automation, and big data technologies. Key Responsibilities • Design, develop, and maintain automated CI/CD pipelines using GitLab, Azure DevOps, Jenkins, or similar tools. • Build and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices. • Deploy, configure, and support Azure cloud services and PaaS components to ensure secure and reliable environments. • Collaborate with solution architects and development teams to implement scalable, cloud-native solutions. • Support big data platforms and data processing technologies, including Spark, Databricks, Cloudera, Hive, and HDFS. • Automate environment provisioning, application deployments, monitoring, and configuration management. • Troubleshoot deployment, infrastructure, and performance issues across development, testing, and production environments. • Implement security, governance, and operational best practices while ensuring platform availability and performance. • Work closely with data engineering teams to support ETL workflows, master data management, and API-based integrations. • Continuously improve DevOps processes, release management, and deployment automation across the organization. Required Skills & Experience • Proven experience as a DevOps Engineer working with Azure cloud environments. • Strong hands-on expertise with Terraform and Infrastructure as Code. • Experience building and maintaining CI/CD pipelines using GitLab, Azure DevOps, Jenkins, or TeamCity. • Good scripting knowledge using Shell, Bash, or PowerShell. • Experience with Azure services, including Azure DevOps, Key Vault, and other PaaS offerings. • Knowledge of big data technologies such as Spark, Databricks, Cloudera, Hive, and HDFS. • Experience supporting data platforms, ETL processes, and cloud-based data pipelines. • Strong troubleshooting, analytical, and problem-solving skills. • Excellent communication skills with the ability to collaborate across technical and business teams. Preferred Skills • Experience with Azure Data Factory and Databricks. • Knowledge of Azure Kubernetes Service (AKS) and containerization technologies. • Development experience in Java, C#, JavaScript, or Python. • Familiarity with customer data platforms, data governance, and master data management. • Experience working in Agile/Scrum environments and using DevOps best practices for continuous delivery.