Business Intelligence Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Business Intelligence Engineer based in Ireland.

This is a high-impact data role within a fast-moving AI technology environment, with ownership spanning the full business intelligence <stack.You> will design and maintain the data infrastructure that powers reliable reporting, analytics, and decision-making across the business.The role combines data engineering, business intelligence, dashboard development, and hands-on <analysis.You> will work closely with business stakeholders and leadership to understand critical KPIs and turn complex datasets into actionable insights.Your work will directly influence operational priorities, product decisions, and commercial <performance.As> part of a lean and ambitious team, you will have significant autonomy and the opportunity to shape data practices from the ground up.This position is ideal for a technically strong data professional who combines engineering expertise with commercial awareness and a passion for clear, impactful storytelling.

Accountabilities

• Design, build, and maintain robust data pipelines, data warehouse infrastructure, and data lake environments using AWS services.
• Establish reliable and scalable data flows across business systems while maintaining high standards for data quality, availability, and consistency.
• Optimise data infrastructure for performance, reliability, scalability, and effective data governance.
• Develop and maintain data models and transformation processes that support reporting, analytics, and business intelligence use cases.
• Build high-quality, intuitive, and actionable dashboards in Looker or comparable business intelligence platforms.
• Work closely with business stakeholders to understand operational requirements, define KPIs, and translate business questions into effective analytical solutions.
• Explore and analyse datasets to identify trends, patterns, opportunities, and areas for operational or commercial improvement.
• Partner with leadership to deliver data-driven analysis that supports strategic decision-making and measurable business change.
• Translate complex analytical findings into clear, concise, and actionable recommendations for technical and non-technical audiences.
• Continuously improve the data stack, reporting environment, and analytical processes to increase the accessibility and business value of data.
• Take end-to-end ownership of business intelligence initiatives, from underlying data pipelines through dashboards and actionable insights.

Requirements

• Strong professional experience with Python and SQL, with the ability to develop reliable data transformation and analytical workflows.
• Hands-on experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, and Lambda.
• Proven ability to design, model, transform, and visualise data effectively.
• Experience building and maintaining dashboards in Looker or a comparable BI platform.
• Solid understanding of data warehousing, data lakes, data pipelines, and modern data architecture principles.
• Ability to work across the data stack and take ownership from data ingestion and transformation through reporting and business analysis.
• Strong analytical mindset with the ability to identify meaningful patterns, trends, and commercial opportunities within complex datasets.
• Commercial awareness and the ability to distinguish between data that is technically interesting and data that is genuinely valuable to the business.
• Excellent communication skills, with the ability to explain complex analytical concepts clearly and tell compelling stories with data.
• High attention to accuracy, clarity, reliability, and detail.
• Self-directed and comfortable working with significant autonomy in a small, fast-paced environment.
• Collaborative approach and ability to work effectively with stakeholders across technical, operational, and leadership functions.
• Availability to work fully remotely, ideally within approximately ±2 hours of GMT.

Benefits

• Fully remote working opportunity.
• Competitive compensation.
• Significant ownership across the end-to-end data and business intelligence stack.
• Opportunity to work with modern AWS data technologies and business intelligence tooling.
• Direct exposure to leadership and the ability to influence important business decisions through data.
• Small, fast-moving, ambitious team with minimal bureaucracy and clear individual ownership.
• Opportunity to shape data infrastructure, reporting practices, and analytics capabilities from an early stage.
• High-impact environment where your work can directly influence business strategy, operations, and growth.