Data Engineer

closed
Smartcat Logo

Smartcat

πŸ“Remote

Summary

Join Smartcat, a rapidly growing Series C company, as a Data Engineer to play a crucial role in transitioning our data platform from on-prem, batch to cloud-based streaming. Partner with the head of data and other engineering colleagues to architect and lead this change, impacting the company's trajectory significantly. Foster a culture of technical excellence, collaborate with cross-functional teams, and stay ahead of industry trends. This is a high-impact role enabling innovation and inclusion in organizations, offering the chance to be part of a fully remote, global team innovating within a $100 billion industry. Smartcat is committed to diversity and inclusion, offering a unique blend of hyper-growth potential with downside protection.

Requirements

  • 6+ years of experience in data engineering, analytics engineering, or a related field
  • Strong background in data modelling, warehousing, managing data quality, orchestration and integration, and ensuring efficient data pipeline practice
  • Demonstrated ability to manage projects and drive them to successful completion
  • Experience in small to medium-sized SaaS organisations with tech-driven products and learned from great leaders what good looks like a must
  • Demonstrated hands-on skills at a high proficiency level in: Databricks
  • Data modelling and architecture (dbt)
  • Airflow
  • Python for data engineering

Responsibilities

  • Partner with the head of data, data engineering and analytics engineering colleagues, to architect and lead change to help us transition the architecture from on-prem, batch to cloud-based streaming
  • This includes data warehouse, ETL data pipelines, introduction and manage data governance, and data operationalization across Smartcat
  • Fostering a culture of technical excellence in data engineering and analytics engineering
  • Partner with cross-functional teams (product, engineering, and business) to align data initiatives with organisational goals
  • Stay ahead of trends in data engineering and analytics to recommend tools and technologies that enhance productivity and performance

Preferred Qualifications

  • Familiarity with Business intelligence tools and insights like Looker, Omni, Holistics, or Thoughtspot
  • Data sources such as Hubspot CRM, Mixpanel, mongoDB

Benefits

Fully remote team

This job is filled or no longer available