Senior Business Intelligence Developer

As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry's largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience – from proposal to commission– so they can help better secure the financial futures of their clients.

At iPipeline, you'll play a major role in helping us to provide best-in-class, transformative solutions. We're passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion.

We're proud that we've been recognized as a repeat winner of various industry awards, demonstrating our excellence and highlighting us as a top workplace in both the US and the UK. We believe that the culture we've built for our nearly 900 employees around the word is exceptional -- and we've created a place where our employees love to come to work, every single day.

Come join our team

About iPipeline

Founded in 1995, iPipeline operates as a business unit of Roper Technologies (Nasdaq:  ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000 indices. iPipeline is a leading global provider of comprehensive and integrated digital solutions for the life insurance and financial services industries in North America, and life insurance and pensions industries in the UK. We couple one of the most expansive digital and automated platforms with one of the industry's largest data libraries to accelerate, automate, and simplify various applications, processes, and workflows – from quote to commission – with seamless integration. Our vision is to help everyone achieve lasting financial security by delivering innovative solutions that connect, simplify, and transform the industry.  

iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees.

As an Expert Data Engineer at iPipeline, you will play a critical role in the ongoing development, support, and evolution of our enterprise dashboard and reporting solutions, guiding the Data Engineering function. Your work will focus on designing, developing, and maintaining dashboards and reports used internally and externally, while also contributing to our strategic data transformation, migrating to AWS services such as Amazon QuickSight and Redshift to support scalable analytics and AI integration.

Working within a scrum team, you will be actively involved in sprint planning, backlog refinement, and cross-functional collaboration to deliver data visualisations that drive business value. You will serve as a subject matter expert, mentor, and Security Champion, ensuring best practices across development, deployment, and data governance.

Dashboard & Report Development & Maintenance

• Design, develop, and maintain Power BI dashboards and SSRS reports to meet internal and external stakeholder needs.
• Develop new Dashboards and Reporting capabilities in AWS using native tools and services
• Provide technical leadership on dashboard architecture, data modelling, data visualisation and user experience design.

Agile Development & Team Collaboration

• Lead estimation and technical input for JIRA stories during sprint planning.
• Collaborate with scrum team members, Data Analysts, and Data Engineers to deliver high-quality, tested solutions.
• Ensure all work meets acceptance criteria, is QA-tested, and adheres to established coding standards.

Strategic Projects & Cloud Migration

• Support and help lead the development of dashboard and reporting solutions in AWS QuickSight, including data source migration to Amazon Redshift.
• Work with the Data Product Manager to align dashboard development with the company's AI and data strategy.
• Investigate and assess opportunities to integrate AWS-native services with dashboards.

Performance Optimisation & Data Engineering

• Optimise complex SQL queries and data pipelines for performance and scalability.
• Define and maintain ETL processes that feed into dashboards.
• Collaborate with the Data Engineering team to design scalable data models.

Security & Governance

• Serve as Security Champion for the dashboard ecosystem, ensuring access control, row-level security, and best practices in secure data design.
• Participate in security reviews, penetration testing, and governance processes.

Stakeholder Engagement & Communication

• Liaise with internal teams (e.g. Data Delivery, Sales, IT Support) and external stakeholders to gather requirements, provide training, and support presentations.
• Lead training programmes and ad-hoc sessions for both internal and external clients on dashboard usage.
• Represent iPipeline in discussions with external technology partners, such as Microsoft and Amazon.

Leadership & Strategy

• Define and implement a dashboard development roadmap aligned with strategic objectives.
• Oversee releases, coordinating resources and timelines.
• Mentor other Power BI / Dashboard developers and contribute to team knowledge sharing.

Technical Expertise

• Power BI Desktop:
  • Advanced DAX, Power Query, and star schema modelling
  • Row-level security and access control
• Power BI Service:
  • Workspace and App management
  • Data Gateway administration
  • Azure Security Group integration
• SQL (including performance tuning in Redshift or similar columnar stores)
• Python & R for data manipulation, automation, and analytics
• Working knowledge of AWS analytics stack (Redshift, QuickSight, Glue, DMS, etc.)
• Tools: SQL Server Management Studio, ALM Toolkit, Tabular Editor 

Development Process

• Experience working in Agile/Scrum environments
• JIRA story creation, refinement, and estimation (story points)
• Full sprint cycle participation (planning, stand-ups, reviews, retrospectives)

Soft Skills & Communication

• Strong communication skills with both technical and non-technical audiences
• Stakeholder engagement and training facilitation
• Self-driven, detail-oriented, and proactive in process improvement

• Demonstrable experience in BI development, with a strong track record of delivering enterprise dashboards, reports and data products and solutions.
• Proven experience with Power BI and AWS QuickSight, including migration projects.
• Strong SQL skills and experience optimising complex queries for large datasets in Redshift or similar columnar data warehouses.
• Background in data engineering, with an understanding of ETL/ELT processes and data modelling.
• Proficiency in Python and R, particularly for analytics, automation, and data manipulation.
• Use of source control (GitHub) to manage code repositories through defined branching strategies.
• Hands-on experience working in Agile/Scrum
• Strong understanding of data visualisation principles and best practices.
• Experience implementing data security, row-level access, and secure dashboard sharing.
• Ability to translate business requirements into technical solutions with minimal guidance.
• Excellent problem-solving and communication skills.

• Experience integrating dashboards with AI/ML models or predictive analytics.
• Familiarity with AWS data services (e.g., S3, DBT, Glue, Redshift, Lake Formation).
• Knowledge of CI/CD practices for BI and analytics tools.
• Exposure to DevSecOps or formal Security Champion roles within development teams.
• Certification in Power BI, AWS, or other analytics tools is a plus.
• Experience in dashboard/data solution migration
• Involvement in integrating AI/ML outputs into BI dashboards
• AWS Certifications or equivalent practical experience
• Familiarity with Microsoft Fabric architecture and upcoming Power BI features