Senior Data Engineer
Inbrain Neuroelectronics
- Barcelona, Spain
- Full-time
- Senior Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- Data Engineering
- AWS
- lineage
- Systems Engineering
- Python
- S3
- IAM
- Glue
- compute services
- modern Lakehouse / Warehouse stack
- Dagster / Airflow
- Terraform / OpenTofu
- Git
Preferred
- data contracts / schema-as-code
- ALCOA+
- 21 CFR Part 11
- GxP
- ISO 13485
- clinical or biomedical data
- EDC / eCRF
- HDF5
- at INBRAIN, you will be in charge of implementing the internal data collection, ingestion and automatic analysis tools.
- You will be at the forefront of bringing advanced healthcare solutions to market, making a tangible difference in people´s lives worldwide.
About Inbrain Neuroelectronics
We are scientists, doctors, techies and humanity lovers, with the mission of building neuroelectronic interfaces to cure brain disorders. INBRAIN harnesses the extraordinary material properties of Graphene, the world’s thinnest and nobel-prize winning material, to build safe, uninvasive and highly efficient neural solutions.
Our mission is to decode and modulate neural networks to improve people's lives.
INBRAIN, we believe that diverse perspectives drive innovation and lead to better outcomes for our team, our technology, and the patients we serve. We are committed to fostering an inclusive workplace where everyone is valued, respected, and empowered to succeed.
This approach allows us to get to know you holistically while giving you the opportunity to learn more about our team, culture, and mission.
INBRAIN, you'll be part of a team pioneering the future of neurotechnology and developing innovative therapies that have the potential to transform patients' lives. We combine ambitious science, cutting-edge technology, and a collaborative culture where talented people are empowered to make a real impact.
As we continue to scale, you'll have the opportunity to take ownership, work alongside world-class experts, and contribute to building a company at the forefront of neuroscience and medical innovation.
INBRAIN, we're not just building technology. We're building a future where outstanding science and innovation can improve the lives of millions of people. If that mission inspires you, we'd love to meet you.
We believe that a diverse and well-balanced workforce drives innovation. At INBRAIN, we foster the inclusion of all people regardless of culture, age, gender, sexual orientation, identity and diverse abilities or any other status.
At Inbrain Neuroelectronics, we built our company around a simple belief: outstanding impact needs outstanding people.
Our mission is to transform the treatment of neurological disorders through neuroelectronic therapies that are safer, smarter, and more human‑centered. We work at the intersection of neuroscience, engineering, and advanced materials, but what truly drives us is the impact our work can have on patients’ lives.
Integrity First
—we hold ourselves to the highest ethical standards because the people we serve deserve nothing less. We are Human Powered, valuing empathy, collaboration, and the diverse perspectives that make our ideas stronger. We encourage everyone to think like Game Changers, challenging assumptions and pushing boundaries to unlock breakthroughs that once felt out of reach.
We act with
Conscious Impact, aware that every decision—from research to clinical translation—shapes real futures. And we embrace a Growth Mindset,creating an environment where learning is continuous, curiosity is celebrated, and people are supported to stretch beyond their comfort zones.
At Inbrain, you’ll join a team united by purpose and energized by possibility. If you’re looking for a place where your talent can contribute to meaningful change—and where you can grow while helping others thrive—you’ll feel at home here.
Responsibilities
- Ingestion pipelines: design, build and run pipelines that bring clinical, preclinical and device data (neural recordings, video, sensor and clinical metadata) from study sites into the AWS/Iceberg platform.
- Data quality
- put automated checks in place for completeness, format, required metadata and signal quality (e.g., SNR, impedance), and make failures visible and routed to an owner.
- Curation and modelling
- turn raw data into standardised and curated, analysis-ready datasets in Snowflake (raw → standardised → curated), versioned and documented.
- Data Contracts
- apply Data Contracts at ingestion, working with Clinical and study sites; reject non-conforming data rather than fixing it silently.
- Traceability and lineage
- keep a full path from every dataset back to its source site, study, session and Data Contract version, to meet ALCOA+ and 21 CFR Part 11 requirements.
- Catalog and access
- register datasets in the catalog with owner, source, metadata and access classification, and support role-based access for data users.
- Enabling ML and analytics
- provide reproducible, versioned datasets to the ML Ops and data science teams, including the reference datasets used for model training and validation.
- Scaling to new data
- onboard new studies and data types using reusable patterns, including the high-volume semi-chronic and chronic recordings from 2027–2028.
Standards and documentation
- define data engineering standards and SOPs and document pipelines for audits and regulatory submissions.
- work with the Platform Architect, DevOps and MLOps engineers on the platform, and with Clinical, Translational Science and RA&QA on data requirements.
- Explains data issues clearly to scientists, clinicians and quality teams.
Requirements
- BSc or MSc in Computer Science, Systems Engineering, Mathematics or a related technical discipline.
- Over
- 5+ years in Data Engineering, with at least 2 in a senior role designing and owning production pipelines.
- Python
- Hands-on experience with
- AWS, especially S3, IAM, Glue and compute services.
- Experience with a modern Lakehouse or Warehouse stack:
Apache Iceberg
- (or Delta/Hudi) and
- (or a similar warehouse).
- Experience building
- ingestion and transformation pipelines
- with an orchestrator such as Dagster or Airflow.
- A track record of
- automated data-quality checks, data versioning and lineage
- Comfort with
- IaC (Terraform/OpenTofu), Git and CI/CD
- Fluent English, written and spoken.
Preferred
- Experience in a regulated environment such as medical devices, pharma, clinical trials or healthcare: GxP, ALCOA+, 21 CFR Part 11, ISO 13485.
- Experience with clinical or biomedical data, such as EDC/eCRF exports, CDISC (SDTM/ADaM), or de-identified patient data under GDPR/HIPAA.
- Experience with time-series or signal data, ideally neurophysiology (NWB, BIDS, HDF5), or large sensor and video datasets.
- Experience with data contracts or schema-as-code.
- Experience supporting ML teams with reproducible, versioned training datasets.
Behavioural Competencies
- Ownership: takes a pipeline from design through to operation.
- Documents work so that it holds up in an audit.
Benefits
- 23 days of annual holiday
- Company-wide Christmas Break
- Free Spanish classes
- Udemy learning account
Annual training allowance to support your professional development
- A high-tech, state-of-the-art office designed for collaboration and innovation
- Flexible and dynamic work environment with the opportunity to grow alongside the company
We welcome applications from all qualified candidates regardless of race, ethnicity, nationality, gender identity or expression, sexual orientation, age, disability, religion, or any other protected characteristic. We encourage individuals from underrepresented backgrounds to apply, even if they do not meet every qualification listed, as we recognize that talent and potential come in many forms.
To ensure a positive candidate experience, we aim to provide a transparent, efficient, and respectful hiring process, with timely communication and feedback throughout.
People & Culture Screening (30 min)
A brief introduction to learn about your background, career aspirations and interest in INBRAIN.
Hiring Manager Interview (45 min)
A deeper discussion focused on your experience, technical expertise, and alignment with the role and team.
Technical Interview (60 min)
As part of the recruitment process, candidates will be asked to complete a short take-home technical case and present their approach during a technical interview with members of the Data Factory team.
Culture Fit Interview (60 min)
Conversations with key stakeholder and People & Culture Representative.
Applications must be submitted in English
At INBRAIN, we're not just offering a job – we're inviting you to be part of a transformative journey, Are you ready to transform lives? Join us!
