It’s no wonder we can go further, faster together. We’re a team of 500+ professionals from 60+ nationalities, all commercially driven, entrepreneurial and ready to turn potential into progress. Not just for us, but for the world too. At STX, we’re focused on so much more than making money. We’re here to make profit with a purpose. Because for us, nothing’s more important than being able to trade in environmental commodities and create the most effective decarbonization strategies for our clients. Join us and together we can change the world – one trade at a time.
Your success story starts here...
TEAM AND ROLE
Be part of a brand-new team of seasoned professionals with diverse expertise, leading the digital transformation of our business by crafting innovative high-tech solutions. The Data Engineer will play a crucial role in building out a brand-new analytics data infrastructure to support the company’s digital transformation.
KEY RESPONSIBILITIES
- Design, build and improve robust and scalable ETL pipelines and a cloud-based customer data platform.
- Introduce automated data quality validation, monitoring and alerts to ensure high levels of reliability and accuracy of our data storages.
- Troubleshooting and implementing improvements to our current data solutions.
- Assist our BI team by designing and introducing a structured approach to creating automated reporting in a scalable way.
- Work with a variety of data sources to enhance internal data using third party solutions and APIs.
KEY REQUIREMENTS
- 3 + years’ work experience in Data Engineering roles or similar including a completed Bachelor’s or Master’s degree in a relevant field.
- Python & SQL experience is essential, TypeScript/JavaScript is a plus, but not required.
- Strong interpersonal skills to work in a team-based environment with a high degree of autonomy to complete tasks.
- Experience working with REST APIs. Hands-on experience with various AWS solutions, working with data warehouses; Experience with Kafka, Docker and Airflow is a plus
- Github/Gitlab, including setting up CI/CD pipelines with automated tests
#LI-Hybrid #LI-MS1
