Analytics Engineer
Core
Build, scale, and optimize data pipelines to enable data-driven decisions and AI adoption for thousands of manufacturers.
Role type
Senior Analytics Engineer
Builds
Scalable data pipelines, standardized data ingestion, and high-quality datasets for visualization and AI models
Domain
Industrial IoT / Energy Efficiency / Data Engineering
Deliverable
production ML models
Required skills
SQL, data orchestration (Prefect, Airflow, Dagster), cloud data warehouses (Clickhouse, Snowflake, BigQuery), cloud platforms (AWS, GCP), software engineering practices (testing, CI/CD)
Preferred skills
AI/ML context understanding, stakeholder collaboration
Technologies
Prefect, dbt, Clickhouse, Metabase, Linear, Slack
Responsibilities
Build scalable pipelines extracting and transforming data from internal/external sources; standardize data ingestion paths; raise testing standards across pipelines; improve documentation and semantics for AI adoption; collaborate with stakeholders to identify data gaps and requirements
Seniority
Senior, hands-on IC