Business Intelligence Engineer
Summary
Business Intelligence Engineer hired through staffing firm NOK Human Capital for an unnamed client. Day to day: building and maintaining ETL pipelines, writing and optimizing complex SQL for large-scale analysis, automating reporting with Python, and developing dashboards and self-service reports for engineering and business stakeholders.
About the Client
Our client is seeking experienced Business Intelligence professionals to support its global engineering and operations teams through scalable data solutions, dashboards, and actionable insights.
Job Title
Business Intelligence Engineer
Job Summary
NOK Human Capital is hiring a Business Intelligence Engineer on behalf of its client. The successful candidate will be responsible for developing and maintaining data pipelines, optimizing SQL queries, and building dashboards and reporting solutions. The role involves working closely with engineering and business stakeholders to translate requirements into reliable insights that support operational and engineering decisions.
Key Responsibilities
- Design, develop, and maintain ETL pipelines to extract, transform, and model data from multiple sources.
- Build and optimize complex SQL queries for large-scale data analysis and reporting.
- Develop and maintain dashboards and self-service reporting solutions.
- Collaborate with engineering and business teams to understand requirements and deliver actionable insights.
- Automate reporting workflows and data processing tasks using Python.
- Ensure data quality, accuracy, and consistency across pipelines, dashboards, and reports.
- Document data models, pipelines, and business logic to support knowledge sharing.
- Conduct ad hoc analyses and deep-dive investigations to address business and operational questions.
Job Requirements
- Bachelor's degree in Computer Engineering, Computer Science, or a related engineering field, or a master's degree in Analytics or Data Science.
- Minimum 5 years of relevant experience in business intelligence or related data roles.
- Advanced SQL proficiency, including complex queries, window functions, and query optimization.
- Intermediate to advanced Python skills, particularly in data manipulation, scripting, and automation.
- Strong understanding of ETL processes and data integration patterns.
- Solid knowledge of dimensional data modeling, including star and snowflake schemas.
- Experience developing dashboards and self-service reporting solutions.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to present insights to technical and non-technical stakeholders.
Selection Process: A technical assessment is required.