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Ciphr Logo Ciphr · IT - Software Development

Junior Analytics Engineer

United Kingdom, Reading · Job Posted January 05, 2026
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Job Description

Be a key contributor to Ciphr’s data & AI platform. We’re growing our Data Science & Analytics team and looking for a Junior Analytics Engineer to help deliver the data and AI products behind our HR technology—pipelines, transformations, dashboards and AI‑powered features. You’ll learn from senior engineers, build core skills across the modern data stack, and take ownership of increasingly impactful work. (Reporting line: Director of Data Science & Analytics.)

Job Responsibility

  • Contribute to and take ownership of key elements of our data platform, including data pipelines, transformations, and semantic models using tools such as Snowflake, dbt, and Fabric
  • Support the delivery of AI-driven features, assisting in testing, monitoring, and maintaining solutions built using large language models (LLMs), Model Context Protocol (MCP), and other AI frameworks
  • Build and maintain dashboards and visualisations that turn data into meaningful insights for internal and customer stakeholders
  • Assist in the implementation of DevOps and CI/CD practices, working with Terraform, Git, and Azure DevOps to deploy data and AI assets
  • Lead on data quality and documentation processes, ensuring the accuracy, traceability, and compliance of all data outputs
  • Embed security and data protection principles into all development and data handling activities, ensuring solutions meet Ciphr’s compliance and governance standards
  • Collaborate across the data team and wider business to understand data needs and contribute to ongoing projects
  • Identify and help implement opportunities to improve efficiency, quality, and reliability across data pipelines, automation, and analytics workflows
  • Continuously learn and experiment with new tools and techniques, from Python and SQL development to automation and AI integration

Requirements

  • Hands-on experience in data engineering, analytics, or computer science
  • Proficiency in Python and SQL, with a keen interest in building your skills
  • Experience with cloud data platforms (Snowflake, Azure, or similar) and willingness to learn modern data stack tools (dbt, Fabric)
  • Good understanding of data visualisation principles
  • Strong attention to detail, communication skills and teamwork
  • Curiosity, adaptability, and a genuine passion for learning new technologies

Nice to have

  • Exposure to tools such as Power BI, Terraform and Azure DevOps
  • Interest in AI/ML concepts and practical applications (e.g., large language models, GitHub Copilot)
  • Awareness of data governance and compliance principles

What we offer

  • Private medical (Bupa)
  • dental
  • health cash plan
  • life assurance
  • income protection
  • pension
  • 30 days’ holiday + bank holidays
  • birthday day off
  • volunteering days
  • National Trust family membership
  • cycle to work
  • tech loans
  • Work From Anywhere benefit for up to 4 weeks per tax year
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