We’re looking for an Associate Data Engineer to join our growing data platform team.
In this role, you’ll work closely with experienced engineers and analysts to build reliable data pipelines and help shape how data flows across the organization.
This is a hands-on, development-focused opportunity where you’ll be writing code daily, solving real data challenges, and contributing to scalable data solutions—not just maintaining systems.
It’s a great role for someone early in their career who is eager to learn, collaborate, and develop their technical skills in a modern data environment.
Work in a collaborative team where learning and mentoring are part of the culture.
Gain hands-on experience with modern data tools and technologies.
Build a solid foundation for a long-term career in data engineering.
Contribute to meaningful projects that support real business decisions.
Requirements
Some hands-on experience with Python for data processing or automation
Good working knowledge of SQL, including working with larger datasets
Exposure to ETL pipelines or data workflows (academic, internship, or professional experience)
Understanding of data modelling or transformation concepts
Comfortable working in a collaborative, code-first environment
Nice to Have
Experience with Snowflake
Exposure to cloud platforms like AWS, Azure, or GCP
Familiarity with orchestration tools (e.g., Airflow)
Interest or exposure to financial data environments
Note that if you are in the US, we can only consider those who are US citizens or Green Card holders.
Tech Stack
Airflow
AWS
Azure
Cloud
ETL
Google Cloud Platform
Python
SQL
Benefits
Generous Time Off packages including additional half days with each public holiday in your location.