Business Intelligence Engineer Role Overview

Overview

This role reports into the Business Intelligence Manager and plays a key part in transforming data into meaningful insights that support informed business decision-making. The successful candidate will be responsible for the full lifecycle of BI solutions, from development and implementation through to optimisation, support, and performance tuning.

Responsibilities

• Collaborate closely with stakeholders and BI Analysts to convert data into actionable business insights
• Own the full lifecycle development, implementation, production support, and optimisation of Enterprise Data Warehouses, Data Marts, and BI reporting environments
• Design and implement scalable reporting and analytical solutions aligned to business requirements
• Analyse business and functional requirements and translate them into robust, operable data solutions
• Ensure data pipelines and supporting infrastructure operate efficiently and reliably
• Provide ongoing operational support, including bug fixes and performance enhancements
• Automate data extraction processes and reporting updates
• Conduct data validation, integrity testing, and data cleansing
• Perform multidimensional data modelling and optimise existing data models

Skills & Attributes

• Solutions-driven with a proactive, can-do attitude
• Strong analytical and problem-solving capabilities
• Proven ability to deliver high-quality work in a fast-paced environment
• Takes ownership and accountability for deliverables
• Customer-centric mindset with an interest in digital, e-commerce, and data-driven environments
• Collaborative, adaptable, and results-focused

Qualifications & Experience

• Bachelor’s degree in Engineering, Computer Science, Mathematics, or equivalent practical experience
• 4–6 years’ relevant industry experience
• Minimum of 2 years’ experience developing BI reporting solutions (e.g. Looker, Looker Studio, Qlik, Tableau, Microsoft Power BI)
• At least 3 years’ SQL development experience
• Experience with Looker, BigQuery, and Dataform is advantageous
• Exposure to OLAP and multidimensional cube design
• Experience using version control tools (e.g. GitHub, GitLab, Bitbucket)
• Experience working with cloud platforms (preferably Google Cloud or similar)
• High proficiency in working with large datasets and complex business models
• Agile/Scrum methodology experience is beneficial
• Retail or e-commerce industry exposure is advantageous

Candidate Profile

The ideal candidate is passionate about technology and data, continuously learning and improving their skillset. They are comfortable taking ownership of projects while collaborating within cross-functional teams. Strong communication skills are essential, as the role involves working with stakeholders at all levels and translating business needs into practical, data-driven solutions.

Working Environment & Benefits

• Market-related total remuneration package with flexibility
• Hybrid or remote working options
• Collaborative, non-siloed working culture
• Dedicated time for learning, innovation, and experimentation
• Regular team engagement and social activities
• Staff discounts and wellness benefits
• Birthday leave
• Access to modern tools, technologies, and hardware
• Support services including confidential counselling, legal, and financial guidance