Job Title: Data Analytics Engineer
Location: Hybrid – 1 day per fortnight in the Wilmslow offices
The Role
Following recent investment, Citation Group is building out its data and AI capabilities to be best in class. A fantastic opportunity has arisen for a skilled data modeller to join the data team, working closely with the Head of Data Engineering to shape how data is structured, defined, and consumed across the business. You'll be responsible for designing and building the curated and semantic layers that sit between raw data ingestion and business consumption — the models that power self-serve reporting, BI tooling, and emerging AI and agentic workflows. You'll work alongside Data Engineering, BI & Reporting, Data Governance, and AI teams to implement a group-wide data modelling strategy that is clean, documented, and trusted.
We're looking for someone with a strong instinct for how data should be shaped for consumption — not just technically correct, but meaningful to the business users and AI tools that rely on it.
Responsibilities
- Design, build, and maintain curated data models in dbt across staging, intermediate, and mart layers
- Develop semantic layer definitions — metrics, dimensions, and business logic — that serve as a single source of truth for BI and analytics
- Translate business concepts and rules into well-structured, reusable SQL models
- Work with Data Governance to ensure models are documented, tested, and lineage-tracked
- Partner with BI analysts and data scientists to understand how models are consumed and iterate accordingly
- Contribute to data quality standards — writing dbt tests and flagging upstream issues
- Support the development of ontological and contextual layers that underpin agentic AI workflows
- Maintain technical documentation that makes models interpretable by both humans and AI tools
- Investigate data quality issues end-to-end — from model back to ingestion
The Person
We're looking for someone who takes genuine pride in clean, well-reasoned data structures. In addition, the successful candidate should have:
- Strong SQL skills with a deep understanding of how to model data for analytical consumption, not just extraction
- Practical experience with dbt — writing models, tests, documentation, and managing a project structure
- Ability to translate business logic and organisational rules into data model design
- Experience building curated or semantic layers — star schemas or similar
- Excellent communication skills — able to work closely with non-technical stakeholders to understand and codify their data needs
- Outstanding attention to detail and a systematic approach to data quality
- Programming experience in Python
Skills and experience we'd love you to have… But if not? We'll help you get there:
- Experience with Snowflake or similar cloud data warehouses
- Familiarity with BI tools and how semantic/metric layers integrate with them (e.g. Omni, Tableau, Looker)
- Exposure to AI-assisted development tools (Claude, Cursor, etc.) and how LLMs interact with structured data layers
- Experience working in an agile environment
- Knowledge of data governance principles — cataloguing, lineage, ownership
- Familiarity with orchestration concepts — DAG dependencies, scheduling, and how modelling fits into a broader pipeline (dbt Cloud, Dagster, or similar)
- Basic understanding of Airbyte or similar ingestion tools
About Us
We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves to work every day and we create an environment where they can shine. We are a nice bunch. We don’t do office politics or “that’s not my job”. We listen, support and take ownership.
We have been proudly delivering valuable HR and Health and Safety services to SME’s across the UK for over 20 years. Passionate about service, we’re on a mission to revolutionise our colleague’s and client’s experience by employing brilliant people who are experts at what they do and smile whilst they are doing it.
Working for Citation you will have access to 25 days holiday, plus your birthday off work, gym membership discount, healthcare, childcare vouchers, the opportunity to purchase extra leave, pension contributions and more.
It’s a great place to work because of the people we employ. Fun and professional, we want likeminded individuals who love to love their job and want the Company to succeed.
So, if our culture sounds like a good fit for you and you want to be part of our success story, then send us your details.