Data Engineer III

Thermo Fisher Scientific

HybridPosted 4 августа 2026 г.

About the role

Thermo Fisher Scientific is seeking a Data Engineer III in Horsham, United Kingdom. This role designs, develops, and maintains scalable data platforms and pipelines that power analytics, reporting, and advanced data-driven solutions across the organization. You will collaborate with cross‑functional teams including business stakeholders, data analysts, data scientists, and application developers to build reliable data architectures that enable timely access to trusted data.

Data Engineer III

Thermo Fisher Scientific

HybridPosted 4 августа 2026 г.

About the role

Thermo Fisher Scientific is seeking a Data Engineer III in Horsham, United Kingdom. This role designs, develops, and maintains scalable data platforms and pipelines that power analytics, reporting, and advanced data-driven solutions across the organization. You will collaborate with cross‑functional teams including business stakeholders, data analysts, data scientists, and application developers to build reliable data architectures that enable timely access to trusted data.

Key responsibilities include: developing and optimizing ETL/ELT processes; integrating data from diverse enterprise systems; ensuring data quality, security, and governance; leveraging modern cloud technologies to build scalable data solutions that support operational excellence, business intelligence, and strategic initiatives; continuously improving data infrastructure through automation, performance optimization, and enhanced reliability while ensuring compliance with enterprise data standards.

Required qualifications: Advanced degree plus 3 years of experience, or Bachelor's degree plus 5 years in data engineering, software engineering, computer science, information systems, or related field. Preferred studies: CS, information systems, data engineering, software engineering, computer engineering, mathematics, statistics, or related quantitative discipline. Certifications such as AWS Certified Data Analytics or Databricks are a plus. Proficiency in SQL and Python; experience designing, developing, and maintaining scalable ETL/ELT pipelines; strong knowledge of relational databases, data warehouses,

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Key responsibilities include: developing and optimizing ETL/ELT processes; integrating data from diverse enterprise systems; ensuring data quality, security, and governance; leveraging modern cloud technologies to build scalable data solutions that support operational excellence, business intelligence, and strategic initiatives; continuously improving data infrastructure through automation, performance optimization, and enhanced reliability while ensuring compliance with enterprise data standards.

Required qualifications: Advanced degree plus 3 years of experience, or Bachelor's degree plus 5 years in data engineering, software engineering, computer science, information systems, or related field. Preferred studies: CS, information systems, data engineering, software engineering, computer engineering, mathematics, statistics, or related quantitative discipline. Certifications such as AWS Certified Data Analytics or Databricks are a plus. Proficiency in SQL and Python; experience designing, developing, and maintaining scalable ETL/ELT pipelines; strong knowledge of relational databases, data warehouses,