Lead data engineer

🔍 Who we're looking for

* 8-15 years of experience in data engineering or data-intensive software development.
* Strong coding experience in Python and SQL, with a plus for Rust or TypeScript.
* Expertise building ETL/ELT pipelines and orchestration (Airflow, Dagster, dbt, or equivalent).
* Experience with data warehouses and lakes (BigQuery, Snowflake, or equivalent) and streaming tools (Pub/Sub, Kafka).
* DataOps know-how: versioning, monitoring, data quality and testing.
* Proven track record delivering projects in an agile, collaborative environment.
* Genuine desire to mentor and grow more junior profiles over time.
* Demonstrated ability to thrive in a demanding, fast-growing environment.
* Excellent analytical skills, attention to detail, and strong prioritization.
* Fluent English, mandatory (working language with our clients and the labs).
The extras that make the difference
* Experience with GCP (or equivalent), Modal or GPU cluster and serverless technologies.
* Experience with infrastructure as code (Terraform, CloudFormation).
* Strong interest in data anonymization, multi-modality, and RL environments.