Associate Director Data, Digital & Informatics (Senior Data Engineer) at BioNTech - ScoutJobs - The AI-curated global job board
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BioNTech
Posted 18 hours ago

Associate Director Data, Digital & Informatics (Senior Data Engineer)

BioNTechAssociate Director Data, Digital & Informatics (Senior Data Engineer)

Requirements

Bachelor's or Master's in Computer Science or related field, 6-10+ years data engineering experience, 2-6+ years Databricks and AWS experience, Strong SQL, PySpark, and Python skills, Experience with CDISC standards, Biotech or pharma industry experience

Skills

DatabricksAWSPythonPySparkSQLTerraform

About the role

Responsibilities

  • Design, build, and optimize scalable, secure data pipelines using Spark, Databricks, Delta Lake, and AWS.
  • Support data flow across clinical systems (EDC, CTMS, IRT, etc.) and build transformations aligned with CDISC standards (CDASH, SDTM, ADaM).
  • Implement frameworks for data quality, testing, monitoring, and performance optimization.
  • Partner with Platform, Cloud, and DevOps teams to evolve the clinical data platform, owning CI/CD automation and infrastructure as code.
  • Lead complex cross-functional data engineering initiatives and mentor engineers on best practices and coding standards.
  • Integrate data across the R&D lifecycle, including API-based ingestion and metadata management.
  • Ensure alignment with GxP, CSV, FAIR, privacy, and data ethics standards.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 6 to 10+ years of data engineering experience with production-grade pipelines and large-scale distributed systems.
  • 2 to 6+ years of hands-on experience with Databricks and AWS.
  • Strong proficiency in SQL, PySpark, and Python.
  • Experience in biotech or pharma regulated environments, including GxP/CSV and data governance.
  • Hands-on experience with clinical data standards (CDISC) and clinical systems (EDC, CTMS, etc.).
  • Experience with CI/CD, DevOps (GitHub), and infrastructure automation (Terraform).

Preferred Qualifications

  • Proficiency with SAS and R.
  • Familiarity with ML/AI workloads and model-ready data engineering.
  • Experience working with CROs and external vendors.

Benefits

  • Competitive remuneration packages based on role, location, and experience.
  • Annual bonus and equity opportunities (variable based on performance).
  • Comprehensive wellbeing support and a diverse, inclusive work environment.

About the Company

BioNTech is a biotechnology company dedicated to revolutionizing medicine by translating cutting-edge science into survival. We focus on addressing high medical needs, such as cancer and infectious diseases, through innovation and a collaborative community of scientists and leaders.

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Associate Director Data, Digital & Informatics (Senior Data Engineer)

BioNTech · Cambridge

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