Job Description

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.




As a senior member of the BI team, the developer mentors others, champions best practices, and ensures alignment between technical outputs and strategic objectives. They contribute to the evolution of data capabilities by integrating emerging technologies, improving operational efficiency, and fostering a culture of continuous improvement.




This is a hybrid role - 3 days in office 2 days at home


Location - Newcastle

Key Responsibilities

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.


- 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






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