Data Engineer

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide.

As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Data Engineer to join our innovative and dynamic team.

Data Engineer | About You As a Data Engineer, you will be responsible for designing, building, and optimizing modern cloud-based data solutions that support analytics, reporting, and business intelligence initiatives.

You will leverage your expertise in Azure, Python, SQL, and modern data platforms to develop scalable data pipelines, integrate data from multiple sources, and ensure the reliability, security, and performance of enterprise data ecosystems.

The ideal candidate combines strong technical data engineering skills with experience in cloud-native architectures, data transformation, and modern analytics platforms, including Microsoft Fabric.

Data Engineer | Day-to-Day Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes to support enterprise reporting and analytics needs. Build and optimize data transformation solutions using Python and SQL, ensuring efficient processing of large and complex datasets.

Integrate data from multiple internal and external sources while maintaining data quality, consistency, lineage, and reliability across the data platform. Develop and support cloud-based data solutions within Azure, leveraging modern data services and best practices for scalability and performance.

Contribute to data platform modernization initiatives, including the implementation and adoption of Microsoft Fabric and Lakehouse architectures. Collaborate with architects, analysts, business stakeholders, and engineering teams to deliver trusted, business-ready data solutions align