Sr. Data Engineer

Overview

We are hiring a Senior Data Engineer to own and evolve our analytics data platform. The infrastructure is already in place (PostgreSQL, Airflow, Jupyter, SQLMesh). The focus of this role is not server setup or hardware maintenance, but building robust pipelines, high-quality data models, and scalable transformation workflows. You will work closely with three data analysts and partner directly with departments like Marketing or Sales to ensure reliable, well-structured datasets power reporting and analysis in Sigma.

Responsibilities

Data Pipeline Development

• Build and maintain ingestion pipelines from multiple sources, including: Aircall, HubSpot, Internal proprietary applications

• Implement reliable, testable transformation workflows using SQL Mesh

• Orchestrate and monitor jobs in Airflow

• Ensure incremental, performance, and maintainable data pipelines

Data Modeling & Transformation

• Design analytics-ready data models in PostgreSQL

• Develop clean, well-documented dimensional models

• Optimize queries and warehouse performance

• Establish transformation best practices and review standards

Marketing Data Enablement

• Work closely with Marketing stakeholders to understand attribution, funnel, campaign, and performance requirements

• Translate business requirements into scalable data models

• Prepare curated datasets for Marketing analysts