Analytics Engineer / Data Modeller

This permanent Senior Analytics Engineer / Data Modeller role offers the chance to make a significant impact within an innovative, tech-driven organisation. You'll work at the forefront of data modelling, analytics engineering, and AI-enablement, helping shape scalable data products that power enterprise reporting, machine learning, and self-service insights., * Design, build, and maintain analytical and AI-ready data marts sourced from the enterprise data lakehouse.

• Develop semantic models and dimensional structures optimised for BI, dashboarding, and machine learning.
• Ensure documentation, governance, and data consistency across domains.
• Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage.
• Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice.
• Partner with analysts and data scientists to deliver performant and reliable datasets.
• Implement data quality monitoring, validation processes, and performance optimisation.
• Support AI initiatives by designing AI marts, feature engineering structures, and ML-ready datasets.
• Contribute to standardised KPIs, metadata, and a single source of truth for reporting.
• Work with business teams to translate complex requirements into scalable, high-impact models.
• Support agile delivery of data products and continuous improvement of modelling standards.

• Proven experience as an Analytics Engineer, Data Modeller, or similar position in a modern cloud-based data environment.
• Strong SQL skills and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift.
• Deep understanding of Data Vault, Kimball, and dimensional modelling techniques.
• Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker).
• Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control.
• Excellent collaboration and communication skills, with strong attention to detail and data quality.

Desirable: Exposure to AI/ML data preparation, Python or Spark, Data Vault 2.0, data governance, GDPR, and experience working in mobility, logistics, financial services, or tech-enabled environments.

• Hybrid and remote working flexibility.
• Comprehensive healthcare package.
• Professional development funding and career progression opportunities.
• Opportunity to work on cutting-edge analytics, AI, and data transformation initiatives.
• A forward-thinking culture built on innovation and continuous improvement.
• 26 days holiday + bank holidays
• Option to purchase up to 5 additional holidays
• 1 day work anniversary leave
• Perkbox discount scheme