Senior Data Engineer
Inbrain Neuroelectronics2 days ago
Barcelona, SpainSenior
Responsibilities
- Design, build, and operate ingestion pipelines for clinical, preclinical, device, neural recording, video, sensor, and clinical metadata data.
- Implement automated checks for completeness, format, required metadata, and signal quality, with visible failure routing and ownership.
- Transform raw data into standardized, curated, versioned, documented, analysis-ready datasets in Snowflake.
- Apply data contracts at ingestion and reject non-conforming data rather than fixing it silently.
- Maintain dataset traceability and lineage back to source site, study, session, and data contract version.
- Register datasets in the data catalog with ownership, source, metadata, and access classifications, and support role-based access.
- Provide reproducible and versioned datasets for ML Ops and data science teams, including model training and validation reference datasets.
- Onboard new studies and data types using reusable patterns and define data engineering standards, SOPs, and audit documentation.
- Collaborate with platform, DevOps, MLOps, clinical, translational science, and regulatory and quality teams.
Requirements
- BSc or MSc in Computer Science, Systems Engineering, Mathematics, or a related technical discipline.
- At least 5 years of data engineering experience, including at least 2 years in a senior role designing and owning production pipelines.
- Strong Python and SQL skills.
- Hands-on AWS experience, especially S3, IAM, Glue, and compute services.
- Experience with Apache Iceberg or Delta/Hudi and Snowflake or a similar warehouse.
- Experience building ingestion and transformation pipelines with an orchestrator such as Dagster or Airflow.
- Track record of implementing automated data-quality checks, data versioning, and lineage.
- Comfort with Terraform/OpenTofu, Git, and CI/CD.
- Fluent written and spoken English.
- Preferred experience in regulated environments such as medical devices, pharma, clinical trials, or healthcare, including GxP, ALCOA+, 21 CFR Part 11, or ISO 13485.
- Preferred experience with clinical or biomedical data, EDC/eCRF exports, CDISC SDTM/ADaM, or de-identified patient data under GDPR/HIPAA.
- Preferred experience with time-series, signal, neurophysiology, sensor, or video data, including NWB, BIDS, or HDF5.
- Preferred experience with data contracts, schema-as-code, or reproducible versioned ML training datasets.
- Completion and presentation of a short take-home technical case during the hiring process.
Benefits
- 23 days of annual holiday.
- Company-wide Christmas break.
- Private health insurance.
- Flexible compensation benefits through Payflow.
- Free Spanish classes.
- Udemy learning account.
- Annual training allowance for professional development.
- High-tech state-of-the-art collaborative office.
- Flexible and dynamic work environment with opportunities to grow alongside the company.