Senior DataBI Engineer

We are seeking an experienced BI Developer / Data Engineer to design build and maintain scalable data solutions that support enterprise analytics and reporting needs. This role combines strong expertise in ETL development SQL databases and Microsoft Fabric with experience in modern Azure-based data platforms and DevOps practices.

The ideal candidate is comfortable working in international cross-functional teams understands data architecture best practices and can contribute across the full data lifecycle from ingestion and transformation to semantic modeling and reporting.

Key Responsibilities

• Design develop and maintain robust ETL/ELT pipelines using modern data platform tools

• Build and optimize data models within Microsoft Fabric and related Azure services

• Develop and maintain complex SQL queries stored procedures and performance-tuned database solutions

• Create and maintain semantic models and business logic using DAX

• Develop data processing and automation solutions using Python (preferred)

• Collaborate with business stakeholders analysts and data consumers to translate requirements into technical solutions

• Implement and maintain CI/CD pipelines for data solutions

• Apply DevOps best practices to ensure code quality version control testing and deployment automation

• Monitor troubleshoot and optimize data pipelines and reporting performance

• Ensure data quality governance and security standards are met

• Participate in architectural discussions and contribute to data strategy initiatives

Required Qualifications

• 3 years of experience in Business Intelligence and/or Data Engineering roles

• Strong hands-on experience with:

• SQL databases (query optimization indexing performance tuning)

• ETL/ELT processes and data transformation frameworks

• Microsoft Fabric or comparable modern data platform environments

• DAX for data modeling and reporting logic

• Building Power BI reports

• Experience working with Azure data services

• Experience with CI/CD pipelines and deployment automation

• Familiarity with Azure DevOps or similar DevOps tools

• Strong understanding of data warehousing concepts (star schema dimensional modeling data lakes)

• Experience working in international and cross-functional teams

• Strong analytical and problem-solving skills

• Excellent written and verbal communication skills in English

Preferred Qualifications

• Experience with Python for data processing scripting or automation

• Knowledge of data governance and data quality frameworks

• Experience with large-scale cloud-based data platforms

• Familiarity with Agile/Scrum methodologies

Key Competencies

• Strategic and systems thinking

• Strong ownership and accountability

• Ability to balance technical depth with business needs

• Proactive mindset with continuous improvement focus

• Effective collaboration across geographies and cultures

What We Offer

• Opportunity to work on modern cloud-based data platforms

• Collaboration with international teams

• Exposure to enterprise-scale data and analytics initiatives

• Professional growth in data architecture engineering and creating reports

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GPC conducts its business without regard to sex race creed color religion marital status national origin citizenship status age pregnancy sexual orientation gender identity or expression genetic information disability military status status as a veteran or any other protected characteristic. GPCs policy is to recruit hire train promote assign transfer and terminate employees based on their own ability achievement experience and conduct and other legitimate business reasons.