Senior Data Engineer

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. We are looking for an experienced data engineer who is passionate about modern data architectures distributed data processing and scalable analytics platforms.

• 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
• Monitor troubleshoot and optimize data processing environments to ensure reliability scalability and performance

• 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
• Experience with on-premises data platforms 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

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