In this role as a Data Engineer within the My Learning digital product area, you will work closely with the concept and brand. You will need to understand how learning solutions support the organization, as the product reaches more than 100,000 co-workers across the franchise system every year.

In addition to be a successful data engineer, we expect:

• Minimum 3 years of data engineering experience

• Minimum 2 years of Databricks and Python experience

• Minimum 2 years of experience working with cloud providers, preferably Azure

• Experience with Git-based development workflows

• Familiar with APIs, preferably in Python

• Familiar with regular back-end work as an engineer

• Experience building scalable solutions using PySpark, Delta Lake, and Databricks Workflows

• Experience working with CI/CD pipelines for data platforms, infrastructure as code, and monitoring

• Experience designing and developing data access layers, APIs, and data services using access control and authentication to enable secure data sharing across teams

As a Data Engineer, your main responsibilities will include:

• Be accountable for engineering and solution architecture within the Learning Technologies and Data area, and align engineering work across teams within the domain

• Design, build, and maintain scalable data pipelines in Databricks using Python and SQL

• Ensure data quality, lineage, and governance across datasets

• Optimize Spark workloads and SQL queries for performance and cost efficiency

• Implement data observability, monitoring, and alerting pipelines, and develop and maintain dashboards