Senior Data Engineer

About the role

Build large scale data pipelines and expand the data infrastructure that feeds analytics, reporting and AI products. Work with analytics, data science and business teams to keep data flowing reliably into a lakehouse environment.

What you will do

• Develop scalable pipelines and new integrations as data volume and complexity grow
• Build a data lakehouse supporting marketing solutions and financial institution clients
• Set up monitoring to keep production data accurate and available
• Troubleshoot data issues through analysis and resolve production problems after deployment
• Help shape long term data platform architecture with business and engineering teams

What they look for

• Bachelor's degree in computer science, IT or a related field plus five or more years of relevant experience, or a master's degree
• Five or more years in data engineering, ETL development or data platform work
• Experience in financial services, banking, fintech, martech, adtech or a marketing agency setting
• Strong Python and PySpark skills for production pipelines
• Hands on work with data lakehouse design and tools such as Apache Airflow, Iceberg, Hive, S3 and Trino

Nice to have

• Experience building REST APIs