Business Intelligence Engineer

About the job

This role will focus on maintaining and improving an existing data platform, supporting commercial analytics, and enabling better business decision-making.

Key Responsibilities:

• Build and maintain Power BI dashboards to track sales and commercial performance.
• Write and optimise SQL queries to transform and analyse data across multiple systems.
• Support and maintain data pipelines and warehouse models to ensure reliable reporting.
• Work with business stakeholders to understand reporting needs and deliver actionable insights.
• Assist with data modelling (facts/dimensions) to improve data structure and usability.
• Debug and resolve data issues across dashboards, pipelines, and source systems.
• Continuously improve existing reporting solutions for performance and usability.
• Support the transition and maintenance of data assets built by external consultants.

Experience & Skills Required:

• Strong SQL skills with the ability to query, transform, and analyse data.
• Experience building dashboards using Power BI or similar BI tools (Tableau, Looker, etc.).
• Understanding of data modelling concepts (data warehousing, facts/dimensions).
• Exposure to data pipelines or ELT processes.
• Ability to work with stakeholders and translate business requirements into data solutions.
• Strong problem-solving mindset and willingness to learn in a fast-paced environment.

Nice to Have:

• Experience with dbt (data transformation workflows).
• Exposure to cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
• Working knowledge of DAX.
• Experience integrating or using AI tools to enhance data workflows.

Project Overview:

You’ll join a small, high-impact team where you’ll gain hands-on experience across data modelling, reporting, and pipeline support — with clear progression into more advanced data engineering work over time.

This is an on-site role (4–5 days per week) offering strong learning opportunities, ownership, and long-term growth potential.