Senior Business Intelligence Engineer

Join Enova, a data-driven company, as a Senior Business Intelligence Engineer. In this role, you will design, develop, and maintain reporting solutions and analytic applications that drive decision-making across various departments. You will collaborate with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the entire project lifecycle. Additionally, you will play a key role in advancing the use of AI in the BI and data development workflow.

• Concevoir, développer et maintenir des solutions de reporting robustes et des applications analytiques.
• Collaborer avec les propriétaires d'entreprise pour recueillir les exigences, les traduire en solutions BI évolutives et prendre en charge l'ensemble du cycle de vie du projet.
• Identifier et mettre en œuvre proactivement des cas d'utilisation de l'IA dans diverses unités commerciales, en tirant parti de la pile technologique d'IA d'Enova.
• Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success
• Experience leveraging AI tools in day-to-day work - coding assistants, agents, and identifying new use cases (e.g., Claude, Gemini, AWS Bedrock) - with a curiosity to push adoption further
• Strong business acumen – ability to understand domain context and translate business needs into technical data solutions
• 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools
• Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.)
• Strong experience with relational databases and cloud data warehouses (Snowflake, Databricks, BigQuery, or AWS Redshift)
• Expert-level SQL and database skills - writing high-quality, performant queries is a core part of this role
• 4+ years working with enterprise BI and visualization tools – MicroStrategy, Tableau, Looker, PowerBI, or equivalent
• Proficiency in Python for data transformation, pipeline automation, and analytics