Senior Data Engineer (Google Cloud, Python, SQL, PySpark)
Core
Design, build, and maintain scalable, secure, and governed data solutions, pipelines, and reporting capabilities to support business, regulatory, and control objectives for Financial Markets clients globally.
Role type
Senior hands-on IC data engineer
Builds
Production-grade data pipelines, data products, and reporting solutions
Domain
Financial services / Data engineering
Required skills
Python, SQL, PySpark, Google Cloud Platform (GCP), BigQuery, Apache Spark, Apache Airflow, data modeling, ETL/ELT, CI/CD, cloud object storage
Preferred skills
Power BI, Cognos, Tableau, Looker, dbt, distributed data processing platforms, financial regulations (EMIR, MiFID, SFTR)
Technologies
Python, SQL, PySpark, GCP, BigQuery, Apache Spark, Apache Airflow, GCS, S3, ADLS Gen2
Responsibilities
Design and develop scalable data pipelines across ingestion, transformation, storage, and consumption layers; Build reliable ETL/ELT processes with data quality controls; Ensure engineering quality through automated testing, code reviews, and monitoring; Manage deployments across development, test, and production environments; Coach and mentor team members; Partner with stakeholders to prioritize work and deliver objectives.
Seniority
Senior, hands-on IC
