Junior Analytics Engineer

CIPHR Group; Reading; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A leading data technology firm in Reading is looking for a Junior Analytics Engineer to work on their data and AI platform. You'll contribute to data pipelines, build dashboards, and support AI-driven features while working with tools like Snowflake and Azure. The role offers a hybrid work model and numerous benefits, including a private medical plan and 30 days holiday. If you're eager to learn and grow in a supportive environment, this could be your perfect opportunity.

Benefits

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 for up to 4 weeks per tax year

Qualifications

• Experience with cloud data platforms.
• Understanding of data visualization principles.
• Interest in building technical skills.

Responsibilities

• Contribute to data pipelines and transformations using modern tools.
• Support the delivery of AI-driven features.
• Build dashboards and visualizations for stakeholders.

Skills

Proficiency in Python

SQL

Attention to detail

Communication skills

Teamwork

Curiosity

Adaptability

Interest in AI/ML

Education

Hands-on experience in data engineering, analytics, or computer science

Tools

Snowflake

Azure

Power BI

Terraform

Azure DevOps

dbt

Fabric

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.)

What you’ll own and deliver

• Contribute to and take ownership of key elements of our data platform, includingdata pipelines, transformations, and semantic modelsusing tools such asSnowflake, dbt, and Fabric.
• Support the delivery ofAI-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 maintaindashboards and visualisationsthat turn data into meaningful insights for internal and customer stakeholders.
• Assist in the implementation ofDevOps and CI/CD practices, working with Terraform, Git, and Azure DevOps to deploy data and AI assets.
• Lead ondata quality and documentation processes, ensuring the accuracy, traceability, and compliance of all data outputs.
• Embedsecurity and data protection principlesinto 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.

What good looks like here

• 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 DevOps 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.

What you’ll bring

• 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 DevOps.
• Interest in AI/ML concepts and practical applications (e.g., large language models, GitHub Copilot).
• Awareness of data governance and compliance principles.

How we work

• Hybrid, UK‑based: outcome‑focused with regular in‑personanchor daysfor collaboration (typically monthly), and flexible presence aligned to role/team needs.

Why Ciphr

• We put people first and live our values ofTrust, Accountability, Service Excellence and Authenticity—and we’re growing a culture where your personal and professional growth matters.

Benefits that matter

• 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 aWork From Anywherebenefit for up to4 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. #LifeAtCiphr #CiphrCareers #DataJobs #AnalyticsEngineering

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.