Staff Data Engineer

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Posted on: 24-10-2025

Vacancies: 1 Vacancy

Job Summary

Its no wonder we can go further faster together.

Were a team of 450 professionals from 50 nationalities all commercially driven entrepreneurial and ready to turn potential into progress. Not just for us but for the world too.

At STX were focused on so much more than making money. Were here to make a profit with a purpose. Because for us nothings 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:

STX is building the digital and data infrastructure that powers global decarbonization.

As a Staff Data Engineer youll architect and evolve the modern data platform that connects every part of the trading lifecycle - from origination and risk management through trading settlement reporting and analytics.

Your mission: design the backbone that enables data reliability interoperability and intelligence across the organization.

Youll combine deep technical expertise with systems - level thinking - defining how data is modeled governed and delivered at scale - while mentoring teams to build on a consistent trusted foundation. This is a hands-on high-impact role for an engineer who thrives on transforming complexity into clarity and systems into strategy.

KEY RESPONSIBILITIES

Architect and evolve STXs cloud-native data platform encompassing ingestion transformation storage and delivery across the full trading lifecycle.
Define and implement canonical data models APIs and governance frameworks to ensure consistency scalability and transparency.
Lead development of streaming and batch data pipelines using modern tools such as Airflow dbt Kafka and Spark.
Partner cross-functionally with analysts engineers and data scientists to design reusable data services and self-serve capabilities.
Establish observability and quality frameworks to maintain data trust reliability and compliance across all environments.
Contribute to long-term data and AI strategy ensuring readiness for intelligent automation and advanced analytics.

KEY REQUIREMENTS

10 years experience in data engineering architecture or platform engineering with a proven record of building scalable data systems.
Expert proficiency in Python and SQL with familiarity in modern cloud ecosystems (AWS preferred) infrastructure-as-code (Terraform/CDK) and containerized environments.
Deep knowledge of modern data stack tools including Airflow dbt Snowflake/Redshift/BigQuery Kafka/Kinesis and Spark.
Strong understanding of data modeling governance lineage and security principles for enterprise-scale platforms.
Demonstrated leadership in defining architectural standards and patterns that promote operational excellence and scalability.
Exceptional communication and mentorship skills with the ability to translate complex technical concepts into business value.
You are living in the Netherlands

GET IN TOUCH

Are you ready to embark on a journey with us Please submit your application for this job by clicking on the apply button. For further questions please contact the Recruitment department at .

#LI-MC1 #LI-Hybrid

Required Experience:

Staff IC

Its no wonder we can go further faster together.Were a team of 450 professionals from 50 nationalities all commercially driven entrepreneurial and ready to turn potential into progress. Not just for us but for the world too.At STX were focused on so much more than making money. Were here to make a p...