Data Engineer

Required Skills & Experience

5+ years of experience as a Data Engineer Strong experience with Snowflake Hands on experience with Fivetran Hands on experience with DBT (data build tool) Deep understanding of data warehousing concepts and best practices Experience working with SAP data sources Proven ability to develop and support enterprise-scale data pipelines Strong SQL and data transformation skills Experience working independently with limited oversight Excellent communication and collaboration skills

Nice to Have Skills & Experience

Experience with SAP S/4HANA Additional ETL/ELT and data integration experience Experience supporting reporting, business intelligence, and analytics initiatives Exposure to modern cloud-based data platforms and architectures Experience integrating multiple enterprise data sources simultaneously

Job Description

Our client is undergoing a major data modernization initiative focused on building a scalable analytics and reporting platform. After successfully completing a proof of concept, the organization is preparing to move into implementation and is seeking a Senior Data Engineer to help accelerate the ingestion, transformation, and optimization of enterprise data sources.

This individual will work closely with the Data & Analytics leadership team, partnering directly with internal stakeholders to transform SAP and other enterprise system data into reporting-ready datasets that drive business insights. The ideal candidate is hands-on, highly technical, and capable of making an immediate impact with minimal ramp-up time.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Fivetran and Snowflake. Ingest, transform, and optimize data from SAP and other enterprise applications. Partner closely with internal data and business teams to create reporting-ready datasets. Support the implementation and expansion of the organization's data modernization strategy. Enable the onboarding of multiple enterprise data sources while maintaining data quality and governance standards. Optimize data models and warehouse structures for analytics and reporting use cases. Troubleshoot data integration issues and recommend improvements to overall architecture and performance. Collaborate with technical and business stakeholders to prioritize and deliver data solutions that support reporting and analytics needs. Help accelerate project timelines and deliver business value through efficient data engineering practices. Day-to-Day Work alongside the lead data resource supporting the modernization initiative. Build and maintain data pipelines from SAP and other enterprise systems into Snowflake. Cleanse, transform, and model data for downstream reporting and analytics consumption. Support multiple concurrent data ingestion efforts to meet growing business demand. Participate in architecture discussions and recommend best practices for scalability and performance.