Sr. Data AI Engineer

Sr. Data AI Engineer

About Sutherland Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they're our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We've created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimise critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless "as a service" model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland Unlocking digital performance. Delivering measurable results.

Core Responsibilities

• Develop and optimize SQL pipelines, data models, and transformations within Snowflake.
• Build Python-based data processing and automation workflows.
• Contribute to Agile ceremonies and deliverables, ensuring timely and high-quality outputs.
• Implement CI/CD workflows and maintain version-controlled code repositories.
• Build and manage orchestration pipelines using Airflow, Dagster, or similar tools.
• Support data governance, quality checks, and secure data practices.
• Troubleshoot pipeline issues and proactively improve performance and reliability.

Required Skills

• Strong SQL expertise (5+ years), preferably with Snowflake, but other Database Management systems are acceptable.
• Data modelling experience.
• Proficient Python programming skills for pipeline and automation tasks.
• Experience working in Agile environments and delivering iterative outcomes.
• Understanding of cloud data warehouses, especially Snowflake.
• Familiarity with CI/CD processes and tools (e.g., GitHub, GitLab, Azure DevOps).
• Exposure to workflow orchestration frameworks like Airflow or Dagster.

All your information will be kept confidential according to EEO guidelines.