Senior Data Engineer

About the role

We are hiring a Data Engineer to join our Data Technologies team. This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that ingest, process, and transform large-scale data into business-ready datasets.

Responsibilities

• Design, develop, and support scalable data pipelines and data products for middle- and back-office systems
• Architect and implement modern data platform solutions
• Build and optimize large-scale batch and streaming data processing workflows
• Collaborate with application teams to model, transform, and deliver data solutions that meet business requirements
• Maintain and optimize data processing environments to ensure reliability, scalability, and performance

Requirements

• 5+ years of experience in data engineering, data platforms, or large-scale distributed data processing
• Strong experience with modern data engineering technologies such as Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka
• Strong Python development skills required
• Experience designing and optimizing high-volume data pipelines and data processing frameworks
• Experience with query optimization and performance tuning in large-scale analytical environments
• On-premises data platforms experience preferred
• Industry experience within capital markets or financial services is required
• Domain knowledge particularly Operations and/or Compliance, is highly preferred
• Ability and flexibility to provide occasional off-hours/weekend support