Data Engineer
Core
Design, build, and operate production data pipelines moving millions of daily data points for an AI-enabled market intelligence platform.
Role type
Senior hands-on Data Engineer
Builds
Data delivery platform (ETL/ELT pipelines, data warehouses)
Domain
Advertising, Media, Market Research
Deliverable
production ML models | product features
Required skills
SQL, RDBMS schema design, Python, dbt, ClickHouse, Airflow/Dagster, AWS, Git, CI/CD, observability, AI coding assistants
Preferred skills
Snowflake/BigQuery/Redshift, Kafka, Docker/Kubernetes, Terraform, Advertising/Media domain experience
Technologies
dbt, ClickHouse, Airflow, Dagster, AWS, Python, SQL, Git, Docker, Kubernetes, Terraform, Kafka
Responsibilities
Design and optimize ETL/ELT pipelines for high-volume data; Write and tune complex SQL for schema design and performance; Migrate stack from Azure Databricks to AWS; Build proofs-of-concept for new tools; Implement testing, monitoring, and CI/CD practices; Collaborate with global engineering teams
Seniority
Senior, hands-on IC