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Staff Data Engineer

STX Group
Amsterdam, North Holland
Full Time
Posted October 23, 2025
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Job Description

The role involves designing and developing a modern, cloud-native data platform to support the entire trading lifecycle, enabling reliable, scalable, and intelligent data solutions for decarbonization strategies and analytics.

Key Responsibilities

  • Architect and develop the cloud-native data platform covering data ingestion, transformation, storage, and delivery across the trading lifecycle
  • Define and implement data models, APIs, and governance frameworks to ensure data consistency, scalability, and transparency
  • Lead the development of streaming and batch data pipelines using tools like Airflow, dbt, Kafka, and Spark
  • Collaborate with analysts, engineers, and data scientists to design reusable data services and self-serve data capabilities
  • Establish observability and data quality frameworks to maintain data trust, reliability, and compliance
  • Contribute to long-term data and AI strategy to enable automation and advanced analytics

Requirements

  • Ten (10) years of experience in data engineering, architecture, or platform engineering with a proven record of building scalable data systems.
  • Expert proficiency in Python and SQL.
  • Familiarity with modern cloud ecosystems, with AWS preferred.
  • Experience with infrastructure-as-code tools such as Terraform and CDK.
  • Experience working in 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.

Benefits & Perks

Compensation/salary range (not specified)
Work schedule (hybrid work model)
Work environment perks (collaborative, diverse team of 450 professionals from 50 nationalities, focus on environmental impact and decarbonization)
Additional benefits (opportunities for professional growth, mentorship, involvement in innovative data and AI strategies, working in cloud-native and modern data tools)

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