Vallum Associates

DevOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer (Azure & Big Data) in London, UK, on a 1-year contract. Key skills include IaC, CI/CD, Terraform, Azure Cloud, and big data experience. Must have a background in data-driven projects and master data management.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Azure #Kubernetes #Big Data #Data Pipeline #Data Governance #Scripting #Cloud #Data Management #ADF (Azure Data Factory) #Spark (Apache Spark) #Vault #Data Engineering #Java #Terraform #Data Processing #Infrastructure as Code (IaC) #HDFS (Hadoop Distributed File System) #Databricks #MDM (Master Data Management) #GitLab #Automation #DevOps #JavaScript #Cloudera #Azure DevOps #Azure cloud #Azure Data Factory #C#
Role description
DevOps Engineer - (Azure & Big Data) Location: London, UK Working Mode: 3 days on site per week 1 year contract Description We're looking for a DevOps Engineer for one of our prestigious client You will play a key role in designing and implementing the global marketing data platform that consolidates client profiles and marketing preferences into a centralized master repository. This system will manage data pipelines from multiple sources, handle master data management elements, and distribute data via APIs and bulk feeds to marketing platforms. The role requires expertise in Infrastructure as Code (IaC), CI/CD automation, and experience in cloud-native and big data ecosystems. Requirements (Must Have Skills) • Proven DevOps expertise in cloud environments, including IaC and CI/CD pipeline management • Strong hands-on skills in Terraform and Scripting (Shell or PowerShell) • Experience working with GitLab and integrating automation into build and release cycles • Exposure to Azure Cloud and PaaS services, including Azure DevOps and Vault • Familiarity with data engineering and big data ecosystems, including Spark and Cloudera stacks (hue, hive, HDFS) • Excellent problem-solving skills and ability to communicate technical solutions effectively • Previous experience working on data-driven projects and master data management solutions Nice to Have Skills • Hands-on experience with Azure Data Factory and Databricks for advanced data processing • Knowledge of AKS (Azure Kubernetes Services) for containerized workloads • Background in development using Java, C#, or JavaScript for automation or service integration • Knowledge of customer data platforms, personalization strategies, and data governance requirements