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Job Description
A senior data engineering role focused on designing and evolving a cloud-native data platform to support global decarbonization trading activities, ensuring data reliability, scalability, and strategic analytics capabilities.
Key Responsibilities
- Architect and develop the cloud-native data platform covering 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 ensure data trust, reliability, and compliance.
- Contribute to long-term data and AI strategies to support 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
Hybrid work schedule (LI-Hybrid)
Work environment perks include a collaborative, entrepreneurial team of 450 professionals from 50 nationalities
Opportunities for professional growth and mentorship
Involvement in impactful decarbonization strategies and environmental commodities trading
Access to modern cloud-native data infrastructure and tools
Participation in long-term data and AI strategy development
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