Staff Data Engineer

2 weken geleden

Amsterdam, Noord-Holland, Nederland STX Group Voltijd € 120.000 - € 180.000 per jaar

It's no wonder we can go further, faster together.

We're 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, we're focused on so much more than making money. We're here to make a 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:

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

As a Staff Data Engineer, you'll 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. 

You'll 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 STX's 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

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