Work closely with experienced engineers and analysts to build reliable data pipelines
Shape how data flows across the organization
Write code daily, solving real data challenges
Contribute to scalable data solutions—not just maintaining systems
Collaborate with a 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

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
Nice to Have: Exposure to cloud platforms like AWS, Azure, or GCP
Nice to Have: Familiarity with orchestration tools (e.g., Airflow)
Nice to Have: Interest or exposure to financial data environments

Generous Time Off packages including additional half days with each public holiday in your location.
Global Career Development opportunities
Social Events
Referral Bonus scheme
Upto $3,000 per successful referral
Plus many more!

Data Engineer

Key skills