Business Intelligence – Data Engineer

Overview

In this role you build and optimize scalable data pipelines to support client data delivery, collaborating with stakeholders to translate requirements into technical solutions. You will work within a cross-functional team to design and maintain Snowflake-based data warehousing and automate workflows with Airflow and Azure Data Factory. You’ ll contribute to performance and cost efficiency while advancing CI/CD and governance practices. This position offers the chance to impact client analytics through robust, scalable data infrastructure.

Responsibilities

• Design, build, and optimize data pipelines using Azure Data Factory and Apache Airflow
• Ingest, transform, and move data into Snowflake Data Warehouse
• Create and maintain Snowflake objects (tables, views, procedures, stages, file formats)
• Write complex SQL for data processing, validation, and reporting
• Develop reusable components and templates to speed delivery
• Collaborate with client stakeholders and participate in stand-ups and planning sessions
• Use GitLab for source control and support CI/CD pipelines
• Support automated testing, deployment, and monitoring of data workflows

Key requirements

• SEI processes, tools, and compliance standards experience
• Experience building and maintaining data pipelines and workflows
• Strong knowledge of Azure Data Factory for data movement and transformation
• Proficiency with Apache Airflow (orchestration, scheduling, DAGs, error handling)
• 5+ years of data engineering experience with Azure Data Factory, Snowflake, and Airflow
• Bachelor in Computer Science or equivalent experience

• collaboration
• communication
• cross-functional teamwork
• Azure Data Factory
• Apache Airflow
• Snowflake

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