Position Overview :

Join the Business Intelligence and Technology Insights, Reporting and Analytics team as a Senior Data Engineer, where you will design, build, and maintain robust data solutions.

We are looking for a senior-level Microsoft Power BI developer who can own the entire lifecycle of building analytics solutions within the Microsoft ecosystem.

This role is hands-on, highly technical, and focused on transforming raw data into scalable, high-performing, and insightful dashboards.

Key Responsibilities :

- Architect scalable data products, ingestion pipelines, and application programming interface (API) connections across diverse sources such as Microsoft SQL Server, web APIs, Microsoft OneLake, and Microsoft Fabric Dataflows.

- Cleanse, join, and standardize data using Microsoft Power Query, Structured Query Language (SQL), and Python for consistent and reusable reporting assets.

- Design and optimize analytical data models including star schema and snowflake models as well as relationships, hierarchies, and robust security approaches such as row-level and object-level security.

- Develop advanced calculations, key performance indicators (KPIs), and business measures using Data Analysis Expressions (DAX); integrate Python and make use of artificial intelligence tools for analytics and insights.

- Build and deploy Microsoft Power BI dashboards that adhere to best practices in usability, accessibility, and design, ensuring solutions are optimized for large-scale use.

- Tune queries, data models, and reports for peak performance, applying governance standards for data certification, metadata management, and clear naming conventions.

- Drive adoption of enterprise standards for Power BI deployment workflows and data management practices.

- Provide technical leadership, troubleshooting, and user training on Microsoft Power Platform capabilities.

- Champion continuous improvement, and stay up to date on trends in data engineering and analytics.

Qualifications & Experience :

- Five to seven years in data engineering, business reporting, or analytics roles.

- Advanced and hands-on expertise in Microsoft Power BI, Microsoft Power Apps, Microsoft Power Automate, Structured Query Language (SQL), and Python.

- Experience working in onshore-offshore delivery models and global, fast-paced business environments.

- Track record of integrating and managing data across enterprise technology platforms.

- Deep understanding of database technologies, such as Amazon RedShift, PostgreSQL, Oracle, and MongoDB.

- Proven ability to deliver secure and scalable data solutions and process automation.

- Familiarity with implementing comprehensive data governance, including row-level security.

- Hands-on experience with agile development methodologies, such as Kanban and Scrum.

- Excellent communication skills for clear requirements gathering and end-user support.

Nice to Have :

- Experience or knowledge of enterprise data governance frameworks.

- Exposure to embedding Microsoft Power BI dashboards into applications or web portals.

- Experience with Bonita Business Process Management, Amazon Web Services (AWS), and cloud-based database platforms.

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway.

You could be one step away from work that will transform your life and career