Data Analytics Engineer

Job description

Job responsibilities

• You'll tame our raw data streams, building the ETL pipelines that pull information from all corners of the company into our data warehouse.
• You'll work with some truly unique datasets—everything from vehicle sensor telemetry and logistics data to the results of our internal system tests.
• You'll write the smart, efficient SQL queries needed to shape our data and prepare it for analysis.
• You'll create and manage the Grafana dashboards that our teams rely on to track performance and spot issues.
• You'll work closely with other teams to figure out what data they need, and then you'll deliver it.
• You'll also get to experiment with our internal AI and LLM-based tools to find new ways to analyze data and automate insights.

Job requirements

• Strong, practical experience with Python and its data libraries (like Pandas, Polars, etc.).
• Expert-level SQL. You should be very comfortable with complex joins, window functions, and query optimization.
• A solid background in building and maintaining ETL pipelines using modern tools.
• Hands-on experience with a BI tool like Grafana, Tableau, or Looker.
• Familiarity with workflow orchestrators like Airflow, Dagster, or Prefect.
• A good high-level understanding of how Large Language Models (LLMs) work and an interest in applying them to data problems.
• A strong sense of ownership and a passion for making sure the data is right.