Data/ETL Engineer

About Ascendion

Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• 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!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

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).