Senior Data Engineer

About the role

As a Senior Data Engineer, you will own the end-to-end data platform, managing ingestion, transformation, and delivery of model-ready datasets. You will work at the intersection of software engineering, data infrastructure, and scientific research to model complex chemical and biological data. This role involves shaping data architecture and building self-service capabilities to support the company's drug discovery engine.

Responsibilities

• Own AQEMIA's Bronze to Silver to Gold data pipelines end to end, from ingestion through transformation and delivery, maintaining lineage and traceability as data volume and complexity grow.
• Model canonical scientific entities, such as compounds, structures, assays, and predictions, establishing identity, provenance, and trustworthy lineage across heterogeneous sources.
• Set and uphold data quality standards through monitoring, validation, testing, and alerting across critical pipelines, strengthening governance and observability.
• 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, including data modeling, testing, documentation, orchestration, and deployment.
• Build self-service capabilities and APIs that make data fit for automation as the company moves toward service-based integration.
• Uphold engineering quality through code reviews and mentor junior engineers by sharing knowledge and best practices.

Required skills

• Python
• SQL
• Data modeling
• Relational databases
• Snowflake
• dbt
• Airflow
• Terraform
• AWS

Nice to have

• BigQuery
• Redshift
• Object storage
• Drug discovery
• Biotech
• Pharma
• Deeptech
• Data governance
• Metadata management

Qualifications

• STEM degree or equivalent experience

About the Company

AQEMIA is a drug invention company dedicated to creating new medicines to address unmet medical needs using a proprietary molecule-invention platform. The company combines physics-based modeling, statistical mechanics, and generative AI to design novel drug candidates from first principles.