Data Engineer - Data & AI

Data Engineer - Data & AI Platforms

Data Engineering | Cloud Data Platforms | Lakehouse | Pharma IT | Agile Delivery

Global Enterprise Partners is supporting a leading global life sciences organisation in expanding its Data & AI team by securing an experienced Senior Data Engineer. This role plays a critical part in designing, building, and operating production-grade data pipelines and data products that enable compliant, high-quality, and timely access to data across the pharmaceutical value chain.

This is a hands-on, technical role for a Senior Data Engineer who enjoys working closely with data scientists, product managers, semantic experts, and business stakeholders in an agile, product-oriented environment.

Role Purpose

The organisation is continuing to invest heavily in data products, FAIR data principles, and modern cloud-based analytics platforms. The successful candidate will:

• Design, build, and operate reliable end-to-end data pipelines from source to data product
• Enable compliant and contextual access to high-quality data assets
• Translate business and data requirements into efficient, scalable technical solutions
• Contribute to a healthy, standards-driven data ecosystem through best practices and shared patterns
• Mentor junior engineers and promote strong engineering discipline

Requirements

Must-Have

• 5+ years of hands-on experience in data engineering, data operations, or similar roles
• Strong experience building production-grade data pipelines using SQL, Python, PySpark, or Spark
• Hands-on experience with modern cloud data platforms such as Databricks or Snowflake
• Experience with ETL/ELT tools (eg dbt, AWS Glue, or similar)
• Strong understanding of data product concepts, life cycle management, and data quality principles
• Practical experience with data quality frameworks (eg dbt tests, Great Expectations, Elementary)
• Solid knowledge of lakehouse table formats (Delta Lake, Apache Iceberg)
• Experience integrating data via APIs and interfaces (REST, OData, ODBC, GraphQL, streaming, etc.)
• Strong analytical mindset, ownership mentality, and high standards for code quality, testing, and documentation
• Experience working in Agile/self-organised teams with excellent collaboration skills

Nice-to-Have

• Experience with FinOps, cost optimisation, and performance tuning in cloud data platforms
• Understanding of data architecture patterns (data hub, data mesh, data fabric)
• Experience defining conceptual, logical, and physical data models
• Prior exposure to GxP environments and computerised system validation
• Experience mentoring engineers or acting as a technical lead

Contract Details

• Employment type: Contract
• Location: EU (remote)
• Language: English (mandatory)

Interested?

Apply directly or contact us for further details.

Contact:
Beatrice Vilkaite

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