13 - Data & DevOps Engineer

 Posted an hour ago
  
 Worldwide
  
⭐ 5-10 years experience
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AI Summary

Design and maintain scalable data pipelines and models while managing Azure infrastructure and environment optimization. Implement automated CI/CD pipelines and Infrastructure as Code to ensure reliable and repeatable deployments.

Our client is a fast-growing social enterprise on a mission to eliminate food waste. They are looking for a skilled Data & DevOps Engineer to join their team for an initial 6-month engagement with the possibility of extension. This is an integrated role combining data engineering with hands-on DevOps and platform enablement - ideal for someone who thrives at the intersection of data pipelines, infrastructure, and continuous delivery.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving data across systems
  • Develop and manage data models and schemas supporting analytics, reporting, and operational use cases
  • Ensure data quality, integrity, and consistency including validation, monitoring, and alerting
  • Own data infrastructure and environment management, including provisioning and optimisation of data storage and processing systems
  • Build and optimise ETL/ELT workflows for performance, scalability, and reliability
  • Integrate data pipelines into Azure DevOps CI/CD pipelines, ensuring automated and repeatable deployments
  • Implement and maintain Infrastructure as Code (IaC) using Terraform and/or Azure Bicep for provisioning Azure resources
  • Own and continuously improve Azure DevOps pipelines including structure, reuse, and deployment automation
  • Monitor system performance, data pipeline health, and infrastructure reliability
  • Collaborate with engineering, product, and analytics stakeholders across Agile ceremonies
  • Contribute to application development in PHP (Laravel) and Vue.js as capacity permits

Required Skills and Experience

  • Minimum 4 years of experience in data engineering or a related field, with proven pipeline experience
  • Strong experience with data processing and transformation tools and frameworks
  • Proficiency in SQL and experience with relational databases (e.g. MySQL)
  • Experience with data modelling and designing scalable data architectures
  • Practical experience delivering infrastructure changes in Microsoft Azure
  • Hands-on experience with Infrastructure as Code tools (Terraform and/or Azure Bicep)
  • Strong understanding of CI/CD principles and pipeline optimisation
  • Familiarity with containers, secrets management, and monitoring/observability concepts
  • Proficiency in JavaScript/TypeScript or other relevant programming languages
  • Experience working with APIs and integrating data from distributed systems
  • Experience with GitHub and building modular, maintainable systems
  • Familiarity with PHP (Laravel) and Vue.js is an advantage

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