At a Glance
- Tasks: Design and optimise data models for impactful analytics and support data-driven decisions.
- Company: Join a forward-thinking company committed to diversity and innovation.
- Benefits: Enjoy hybrid work, competitive pay, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on continuous learning and development.
- Why this job: Make a real difference by empowering users with data insights and technical support.
- Qualifications: Experience in data modelling and strong collaboration skills are essential.
The predicted salary is between 50000 - 65000 £ per year.
In this role, you will design, implement, and optimise inclusive, high-quality data models and platform performance to enable accurate, efficient analytics and support data-driven decision-making across the organisation. You will collaborate with diverse stakeholders and empower users through technical support, training, and best-practice guidance, ensuring everyone can confidently access, understand, and maximise the value of the platform.
Key Responsibilities
- Design and implement data models and indexes required to support the platform, ensuring data is organised and structured to enable efficient analysis.
- Design and implement data models optimised for analytics to ensure high data quality and integrity for accurate analytics outcomes.
- Provide technical support to end users, resolving technical issues and ensuring the platform functions effectively.
- Migrate data from existing systems into the platform and structure data to enable effective analysis.
- Monitor platform performance, identify areas for improvement, and implement optimisations for efficiency and effectiveness.
- Provide training and support to end users to maximise platform value.
- Stay up to date with developments in data analytics and BI to ensure the platform meets current standards and best practices.
- Collaborate with cross-functional stakeholders to align data outputs with dynamic business needs.
Key Requirements
- Semantic modelling + KPI governance; can design and maintain enterprise KPI definitions and semantic models that remain stable as requirements evolve.
- Experience with modelling/release processes, standards, reviews, and safe rollouts for analytics assets.
- Lakehouse-first analytics delivery; comfortable with Databricks as the consumption plane and data structured through Raw/Cleansed/Curated layers on AWS S3; works within Unity Catalog governance and quality controls, data contracts + monitoring via Soda.
- BI platform engineering: Power BI (semantic models at scale, model hygiene, maintenance); ThoughtSpot (RLS options, user/group access patterns); proven ability to improve platform reliability via proactive practices.
- Engineering discipline for analytics: uses version control and follows controlled change/release practices for analytics assets; treats analytics as production-grade.
- Stakeholder delivery: can translate business questions into durable datasets and explain changes clearly to stakeholders.
Skills and experience
- Experience with dbt-like practices (modular models, tests, docs, CI).
- Familiarity with Microsoft guidance for Power BI lifecycle management and managing change across environments.
- Exposure to BDH ecosystem tools such as Dataiku and catalogue patterns.
- Awareness of BDH ingestion patterns (e.g., Lakeflow Connect/Boomi) to anticipate downstream impacts.
Remote type: Hybrid Remote.
Qualities
- Adaptability
- Data Architecture Development
- Data Engineering
- Data Integration
- Data Integrity
- Data Security
- Empathy
- Experimentation
- Microsoft Power BI
- Python
- Tableau
- Taking Ownership
- Teamwork
- Understanding Customers
Equal opportunity statement
We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realising their potential.
Analytics Engineer employer: CHEP UK Limited
As an Analytics Engineer at our company, you will thrive in a dynamic and inclusive work environment that prioritises employee growth and collaboration. We offer comprehensive training and support to empower you in your role, alongside competitive benefits and a commitment to diversity that ensures every voice is heard. Located in a vibrant area, our hybrid remote work model allows for flexibility while fostering a strong sense of community among colleagues.
