About the role
- Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency
- Collaborate with Agile teams to architect end-to-end data solutions — from ingestion and orchestration through to event streaming and downstream delivery
- 4+ years of experience building or operating data pipeline and orchestration systems
- 4+ years of data or application engineering experience, including Java, Python and SQL
- 4+ years of experience building and operating real-time or event-driven data systems
- 4+ years of experience with distributed data and computing tools (Kafka, Spark, EMR, Hadoop, or equivalent)
- 4+ years of experience with cloud data warehousing platforms at scale
- 4+ years of experience with cloud platforms (AWS, Azure, or GCP)
- 3+ years of experience with pipeline scheduling and workflow orchestration tools
- 2+ years of experience with secure secrets management and credential handling in production systems
- 2+ years of experience working in Agile engineering environments
- Familiarity with data observability practices — monitoring, alerting, SLA tracking, and data quality frameworks
- Experience in financial services or other regulated, compliance-driven industries