Overview

Senior BI Developer role at Sage in Newcastle upon Tyne, England, United Kingdom. The Senior BI Developer plays a strategic and hands-on role in designing, developing, and optimising data models and pipelines that drive business-critical insights and enable data-informed decision-making. Supporting the Performance Marketing function and broader business teams, this role leads the development of scalable, governed, and high-performing data solutions that underpin reporting, analytics, and AI-enhanced capabilities.

Key Accountabilities and Decision Ownership

• Lead the design and development of robust, scalable data models and transformation pipelines.
• Own and maintain central semantic models, ensuring consistency and accuracy across reporting outputs.
• Optimise performance of data models and queries, proactively identifying and resolving bottlenecks.
• Mentor junior BI developers, providing technical guidance, code reviews, and training on tools and business context.
• Collaborate with IT and data platform teams to enhance ingestion processes and leverage new technologies.
• Champion best practices in version control, testing, and CI/CD.
• Translate complex business requirements into effective technical solutions, engaging stakeholders to ensure alignment and clarity.
• Lead delivery of high-impact data initiatives, managing timelines, risks, and outcomes.
• Contribute to the integration of AI and machine learning into BI workflows to enhance insight generation and operational processes.
• Maintain comprehensive documentation for data models, KPIs, business logic, and governance standards.

Skills, Know-How and Experience

Must Have:

• Advanced proficiency in data transformation and modelling.
• Strong experience with BI platforms (e.g., Power BI, Microsoft Fabric), including semantic modelling and performance tuning.
• Proven ability to lead and mentor technical teams, with a focus on quality, scalability, and maintainability.
• Familiarity with version control and collaborative development workflows (e.g., GitHub, GitLab).
• Understanding of workflow automation and low-code platforms (e.g., Power Automate, Power Apps).
• Ability to operate strategically and tactically in a fast-paced, agile environment.

Preferred:

• Experience with cloud-based data integration and orchestration tools (e.g., AWS Glue, Azure Data Factory).
• Exposure to AI and machine learning integration in analytics workflows (e.g., Microsoft Copilot, or similar AI assistants).
• Knowledge of metadata and data governance practices using tools such as Collibra.
• Familiarity with marketing technologies (e.g., Eloqua, Google Analytics) and understanding of marketing performance metrics and KPIs.
• Strong analytical and problem-solving skills with attention to detail.

Technical / Professional Qualifications

• Bachelor’s degree or equivalent in Computer Science, Information Systems, Data Analytics, or a related field.
• 5+ years of experience in BI development, data modelling, or data engineering, including leadership responsibilities.

Key Performance Indicators

• Delivery of scalable, governed, and well-documented data models and pipelines.
• High data quality and reliability in reporting and analytics outputs.
• Timely resolution of data and performance issues.
• Demonstrated leadership in mentoring, stakeholder engagement, and strategic project delivery.
• Contributions to automation, AI integration, and continuous improvement initiatives.

Your Benefits

• Competitive base salary and commission structure
• Comprehensive health, dental and vision coverage
• Work away scheme for up to 10 weeks a year
• On-going training and professional development
• Paid 5 days yearly to volunteer through our Sage Foundation
• Flexible work patterns and hybrid working

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Software Development