Business Intelligence/ SQL Engineer

Business Intelligence/ SQL Engineer focuses on maintain, and optimise aws-based data pipelines and platform components.

What the role involves

• Maintain, and optimise AWS-based data pipelines and platform components.
• Support Power BI reports, dashboards, and analytical solutions across multiple business functions.
• Supporting both BAU activities and the delivery of new data and analytics capabilities.
• Work closely with technical and business teams to support AI-related initiatives and roadmap delivery.
• Ensure best practices are followed for data quality, governance, security, and performance optimisation.
• Managing Power BI administration activities including access management, role-based security, subscriptions, and gateway configuration.

Skills and requirements

• Core Technical Requirements Strong hands-on experience with: Power BI report and dashboard development.
• ML Exposure (Essential) You must demonstrate practical exposure to one or more of the following: Working with cloud-based AI services such as AWS Bedrock or similar platforms.
• Experience working alongside Data Science teams or supporting ML pipelines.
• Experience Required Typically 4–8+ years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or related disciplines.

Candidate fit

• analytical judgement, accuracy, stakeholder communication, and careful data handling

Additional role context

• AWS services including Athena, S3, Lambda, Glue, Redshift, EC2, and RDS.
• PostgreSQL, Postgres RDS, MySQL, and AWS Athena.
• Proven track record delivering AWS-based data and analytics solutions.