{"id":4286354,"url":"https://alion.io/job/inbrain-neuroelectronics-senior-data-engineer","title":"Senior Data Engineer","company":{"id":695530,"name":"INBRAIN Neuroelectronics","domain":"inbrain-neuroelectronics.com","url":"https://alion.io/company/inbrain-neuroelectronics","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"21 CFR Part 11","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CDISC","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"HIPAA","optional":false},{"name":"IAM","optional":false},{"name":"ISO 13485","optional":false},{"name":"OpenTofu","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-13T18:41:57Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T03:32:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Your Mission\nWe 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.As a Data Engineer at INBRAIN, you will be in charge of implementing the internal data collection, ingestion and automatic analysis tools.\nYou will be at the forefront of bringing advanced healthcare solutions to market, making a tangible difference in people´s lives worldwide.\nWhat You'll Do\nMain 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.\n 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.\n Curation and modelling:turn raw data into standardised and curated, analysis-ready datasets in Snowflake (raw → standardised → curated), versioned and documented.\nData Contracts:apply Data Contracts at ingestion, working with Clinical and study sites; reject non-conforming data rather than fixing it silently.\nTraceability 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.\nCatalog and access:register datasets in the catalog with owner, source, metadata and access classification, and support role-based access for data users.\nEnabling 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.\nScaling to new data:onboard new studies and data types using reusable patterns, including the high-volume semi-chronic and chronic recordings from 2027-2028.\nStandards and documentation:define data engineering standards and SOPs and document pipelines for audits and regulatory submissions.\nCollaboration:work with the Platform Architect, DevOps and MLOps engineers on the platform, and with Clinical, Translational Science and RA&QA on data requirements.\nWhat You'll Bring\nEducationBSc or MSc in Computer Science, Systems Engineering, Mathematics or a related technical discipline.\nExperienceand Technical SkillsOver 5+ years in Data Engineering, with at least 2 in a senior role designing and owning production pipelines.\nStrong Python and SQL.\nHands-on experience with AWS, especially S3, IAM, Glue and compute services.\nExperience with a modern Lakehouse or Warehouse stack: Apache Iceberg (or Delta/Hudi) and Snowflake (or a similar warehouse).\nExperience building ingestion and transformation pipelines with an orchestrator such as Dagster or Airflow.\nA track record of automated data-quality checks, data versioning and lineage.\nComfort with IaC (Terraform/OpenTofu), Git and CI/CD.\nFluent English, written and spoken.\n PreferredExperience in a regulated environment such as medical devices, pharma, clinical trials or healthcare: GxP, ALCOA+, 21 CFR Part 11, ISO 13485.\nExperience with clinical or biomedical data, such as EDC/eCRF exports, CDISC (SDTM/ADaM), or de-identified patient data under GDPR/HIPAA.\nExperience with time-series or signal data, ideally neurophysiology (NWB, BIDS, HDF5), or large sensor and video datasets.\nExperience with data contracts or schema-as-code.\nExperience supporting ML teams with reproducible, versioned training datasets.\nBehavioural CompetenciesOwnership: takes a pipeline from design through to operation.\nExplains data issues clearly to scientists, clinicians and quality teams.\nDocuments work so that it holds up in an audit.\nRecruitment Process\nAt 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.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.\nTo ensure a positive candidate experience, we aim to provide a transparent, efficient, and respectful hiring process, with timely communication and feedback throughout.\n People & Culture Screening (30 min) - A brief introduction to learn about your background, career aspirations and interest in INBRAIN.\n Hiring Manager Interview (45 min) - A deeper discussion focused on your experience, technical expertise, and alignment with the role and team.\n 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.\n Culture Fit Interview (60 min) - Conversations with key stakeholder and People & Culture Representative.\nThis approach allows us to get to know you holistically while giving you the opportunity to learn more about our team, culture, and mission.Why us?\nAt 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.\nWhat We Offer\n23 days of annual holiday\nCompany-wide Christmas Break\nPrivate health insurance\nFlexible compensation benefits through Payflow\nFree Spanish classes\nUdemy learning account\nAnnual training allowance to support your professional development\nA high-tech, state-of-the-art office designed for collaboration and innovation\nFlexible and dynamic work environment with the opportunity to grow alongside the company\nAt 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.Applications must be submitted in English\nAt 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!\n#diverseandinclusive \nWe believe that a diverse and well-balanced workforce drives innovation. 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