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.)
What you’ll own and deliver- 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 Dev Ops and CI/CD practices
, working with Terraform, Git, and Azure Dev Ops 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.
- Growth in technical skills and the ability to deliver reliable, production-ready outputs is demonstrated with increasing independence.
- High quality and accuracy in data and reporting solutions are evidenced by stakeholder trust and reduced rework.
- Solutions are designed to be secure, efficient, and easily adopted by end users and internal teams.
- Contributions to code reviews, learning sessions, and collaborative projects are recognised.
- Positive feedback is received from senior engineers and product stakeholders regarding contributions and responsiveness.
- Documentation is kept clear and governance and Dev Ops standards are adhered to.
- Curiosity, initiative, and continuous learning are made visible and aligned to team objectives.
- Opportunities to streamline workflows and improve delivery speed and quality are proactively identified and acted upon.
- 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.
- Exposure to tools such as Power BI, Terraform and Azure Dev Ops.
- Interest in AI/ML concepts and practical applications (e.g., large language models, Git Hub Copilot).
- Awareness of data governance and compliance principles.
- Hybrid, UK‑based
: outcome‑focused with regular in‑person anchor days for collaboration (typically monthly), and flexible presence aligned to role/team needs.
- We put people first and live our values of Trust, Accountability, Service Excellence and Authenticity - and we’re growing a culture where your personal and professional growth matters.
- 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
, and more. Plus a Work From Anywhere benefit for up to 4 weeks per tax year (subject to policy).
Apply now
Bring your enthusiasm, curiosity and growth mindset to a team that’s shaping how UK organisations use people data. #Life At Ciphr #Ciphr Careers #Data Jobs #Analytics Engineering
Inclusion at Ciphr — We’re building an inclusive, flexible, supportive culture where individuality is celebrated (including employee resource groups and community). If you need adjustments at any stage, just let us know.
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