Data/ETL Engineer

About Ascendion

Ascendion is an AI-Native platform-driven software engineering company that delivers outcomes and helps organizations innovate faster, smarter, and with greater impact. We collaborate with Global 2000 clients across North America, the UK, Europe, and APAC to address complex challenges spanning data, experience design, software product engineering, and workforce transformation. Backed by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) approach, we produce measurable results that strengthen trust, unlock value, and accelerate growth. Explore more at ascendion.com

Ascendion | Engineering to elevate life

We offer a culture grounded in opportunity, inclusion, and a true spirit of partnership. Join us to change the world:

• Build the coolest tech for world's leading brands
• Solve complex problems — and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience
  
  

Experience a community of change makers!

Be part of a high-performing community of innovators driven by fresh ideas and a passion for technology. Our culture is the foundation of our organization and helps define who we are—unique, inclusive, and diverse. The way we exchange ideas, learning, experiences, successes, and joy enables everyone at Ascendion to do their best work.

Job Role

Job Title: Data Engineer

About The Role

'Responsibilities'

• Design and implement robust ETL pipelines to integrate data from multiple HR systems and sources.
• Develop optimized data models and schemas that support analytics and reporting requirements.
• Build and maintain scalable data infrastructure to enable people analytics initiatives.
• Manage Airflow workflows for pipeline orchestration and dbt models for data transformation.
• Create and optimize complex SQL queries for data analysis and reporting.
• Implement comprehensive data quality checks and monitoring systems to ensure accuracy and reliability.
• Partner with analysts transform raw data into actionable insights for business stakeholders.
  
  

'Required Skills'

• Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree preferred).
• 5+ years of experience in data engineering.
• Expert-level proficiency in SQL and Python for data manipulation and analysis.
• 2+ years of hands-on experience with Airflow.
• 2+ years of hands-on experience with dbt.
• Strong expertise in AWS data services and cloud infrastructure.
• Proven track record of translating complex business requirements into scalable data solutions.
  
  

'Desirable Skills'

• Experience working with Workday.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning concepts and their application to people analytics.
• Experience with HR data and metrics.
  
  

'Education Qualification'

• Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree preferred).