Senior Data Engineer

About the role

This role is ideal for someone with a strong background in B2B SaaS or enterprise technology environments, where data is critical to driving sales & product insights, revenue operations, customer success, and executive reporting.

What you'll do

• Design, build, and maintain scalable data pipelines and integrations across internal and external systems
• Develop and optimize data solutions that support analytics, BI, machine learning, AI/Agentic AI, operational reporting, and self-service data access
• Build robust ELT/ETL workflows to ingest and transform data from systems such as CRM, product telemetry, marketing, finance, support, and subscription platforms
• Design and maintain clean, scalable, and well-documented data models for enterprise reporting and analytics use cases
• Improve data reliability, quality, observability, lineage, and performance across the data platform

What you need

• 6–10 years in data science & ai
• Machine learning
• ETL
• Python
• Data modelling
• LLMs
• Data warehousing
• Any graduate

Good to have

• Informatica
• Snowflake
• Airflow
• Databricks
• BigQuery
• Customer success