Senior Data Engineer

About the role

As a Senior Data Engineer at Bureau, you will design and own the data platform that fuels our fraud detection and identity intelligence products. You'll work at serious scale, high-throughput streaming signals, a growing cloud data lake, and low-latency serving requirements where it directly impacts fraud detection.

What you'll do

• Build and operate scalable batch and streaming pipelines that ingest, clean, transform, and aggregate data from disparate sources, device SDKs, APIs
• Develop and maintain orchestration workflows (Airflow) that power research, reporting, compliance analytics, and ML model training and feature pipelines
• Own the reliability, observability, and cost-efficiency of production data infrastructure , with monitoring, alerting
• Collaborate with data science and ML teams to design feature stores and data pipelines that shorten the path from raw signal to deployed model
• Champion data engineering best practices, data quality, schema governance, testing, documentation, and mentor engineers across the team

What you need

• 4–8 years in data science & ai
• SQL
• Python
• AWS
• Machine learning
• Airflow
• Spark
• Any graduate

Good to have

• Databricks
• Snowflake
• Kafka
• Kubernetes
• REST APIs
• Instrumentation