Senior Data Engineer, Product Analytics
Core
Build and operate scalable, event-driven data pipelines and models to transform transaction, network, and customer data into analytics-ready tables for Pagero's product analytics.
Role type
Senior IC data engineer (product analytics)
Builds
Production data pipelines, event collection infrastructure, and automated self-serve data products
Domain
E-invoicing, B2B transaction networks, and regulated financial services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data modeling, software engineering, version control, testing, batch and event-driven pipeline orchestration, cloud data platforms, data reliability monitoring, AI tooling (LLMs, coding assistants)
Preferred skills
Product sense, data residency/sovereignty architecture, e-invoicing/VAT compliance, post-acquisition integration experience
Technologies
dbt, Airflow, Kafka, Snowflake, GCP, AWS, Azure, Claude, GitHub Copilot, Cursor
Responsibilities
Design and run data pipelines and models; implement event-driven data collection across the customer journey; ingest data into Thomson Reuters' enterprise data lake; build monitoring, alerting, and data quality testing; automate recurring reporting into self-serve products; partner with engineering and product teams on instrumentation; document pipelines and runbooks
Seniority
Senior, hands-on IC
