Data Engineer

Aptean is seeking a hands-on, results-driven Data Engineer to design, build, and maintain scalable Enterprise data lakehouse using Microsoft Fabric, following the medallion architecture.

This role is key to advancing our enterprise data platform, enabling analytics, Enterprise reporting, and AI-driven insights.

The ideal candidate will have strong experience in data modeling, data lakehouse technologies, and a passion for leveraging AI to optimize and enrich data processes wherever possible.

• 2-5 Year’s

• Hands-on experience in designing and implementing data platforms, including data warehouses, lakehouse, and modern ETL/ELT pipelines.
• Working knowledge of Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks, Lakehouse) is strongly preferred.
• Proven ability to build, deploy, and troubleshoot highly reliable, distributed data pipelines integrating structured and unstructured data from various internal systems and external sources.
• Working knowledge of the medallion architecture (bronze/silver/gold) and Delta Lake / OneLake concepts; prior project experience implementing this pattern is highly desirable.

Solid understanding of data lakehouse patterns and Delta Lake / OneLake concepts, with the ability to structure data models that are AI/ML-ready and support semantic modeling.

Solid understanding of SQL, relational and dimensional data modeling, query tuning, and basic performance optimization.

Familiarity with data quality concepts — null/duplicate/schema-drift checks, basic SCD handling, and validation rules in transformation pipelines.

Familiarity with Git, branching strategies, and CI/CD concepts in a data engineering context (Azure DevOps or GitHub Actions).