Senior Data Engineer

Job summary

Responsibilities

As our Senior Data Engineer, you'll own AQEMIA's data platform end to end — from ingestion through the pipeline to the trusted, model-ready datasets that power science, ML and analytics.

• Own AQEMIA's Bronze → Silver → Gold data pipelines end to end, from ingestion through transformation and delivery, maintaining lineage and traceability as data volume and…
• Model canonical scientific entities — compounds, structures, assays, predictions — establishing identity, provenance and trustworthy lineage across heterogeneous and often messy…
• Set and uphold data quality standards through monitoring, validation, testing and alerting across critical pipelines, strengthening governance and observability so datasets stay…
• Partner with ML engineers, data scientists and researchers to build curated, model-ready datasets, translating scientific and business requirements into scalable data solutions.
• Drive data architecture and engineering best practices — data modeling, testing, documentation, orchestration and deployment — in collaboration with the Engineering Manager and…

What they're looking for

• Deep experience in data engineering, with a track record of production systems that other teams depend on. We care about what you have built, not the year count.
• Strong software engineering skills. You code, you review code, and you hold a quality bar.
• Expert in Python and SQL. - Strong data modelling and relational database experience. You can defend an identity key.
• Production experience with a cloud warehouse (we use Snowflake) and a transformation framework (we use dbt).
• Experience with workflow orchestration (we use Airflow) and infrastructure-as-code (we use Terraform on AWS).

Tech stack

• Python
• SQL
• Snowflake
• dbt
• Airflow
• Terraform
• AWS
• BigQuery