Senior Data Engineer - Workday HR Transformation

ROLE OVERVIEW

Senior Data Engineer

KEY RESPONSIBILITIES

Data Engineering & Delivery:

• Design, develop, and maintain efficient data pipelines using AWS, Databricks, and Work at to support the HR Transformation programme.
• Contribute to the integration of HR systems (including Workday) by developing ETL/ELT pipelines for data migration, transformation, and analytics.
• Collaborate with Data, Integration, and Workday Tech Leads to ensure engineering solutions align with business requirements and data standards.
• Apply data governance, quality, and security best practices throughout development and deployment.
• Participate in testing and validation processes to ensure data accuracy and reliability across systems.

Collaboration & Continuous Improvement:

• Contribute to documentation and knowledge sharing for data pipelines and platform usage.
• Support continuous improvement of data processes by suggesting and implementing enhancements for performance, quality, and efficiency.
• Collaborate with team members and share learnings to promote best practices within the squad

Monitoring & Support:

• Implement monitoring and alerting mechanisms to ensure data pipeline reliability.
• Support incident resolution and troubleshooting for data pipeline issues in coordination with the wider engineering and support teams.

TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE

• 4+ years of experience in data engineering roles with exposure to AWS cloud services and modern data stack technologies.
• Hands-on experience with AWS (S3, Glue, Lambda, Redshift) and Databricks for data processing, transformation, and analytics.
• Knowledge of Workato or similar tools for integration and automation between systems such as Workday.
• Strong skills in SQL and Python (or Scala) for developing scalable ETL/ELT data pipelines.
• Understanding of HR systems and data structures (Workday experience preferred).
• Working knowledge of data governance, data quality, and security principles.
• Problem-solving skills with ability to debug and optimize data processes.
• Effective communication and collaboration skills within cross-functional teams.
• Experience working in Agile environments is preferred.