Engineer III, Python and C#

Overview

Senior Software Engineer role within the Data Governance and Analytics team of Thermo Fisher Scientific's Data, AI, and Visualization (DAIV) organization, building backend services, data ingestion pipelines, and governance frameworks in Python and C#.

What you'll do

• Design, develop, test, and maintain software libraries and reusable components using C# and Python.
• Build components that support data extraction, analysis, connectivity, and governance.
• Develop interfaces and integration logic that allow components and applications to exchange data reliably.
• Implement automated data quality checks, metadata tracking, and data lineage mechanisms to ensure high data integrity, security, and compliance across systems.
• Build robust data pipelines, data models, and analytics backends to support enterprise reporting, metrics tracking, and governance compliance.
• Identify existing software that can be reused and support its integration into new solutions.
• Collaborate with architects to define component interfaces, dependencies, and integration approaches.
• Develop and maintain automated tests to validate functionality and prevent regressions.
• Work with engineers across the wider R&D organization to support adoption of shared components.
• Apply secure development practices and support DevSecOps activities within the development lifecycle.
• Investigate defects, troubleshoot integration issues, and improve software reliability.
• Maintain technical documentation and clear runbooks covering component interfaces, configuration, integration dependencies, and usage.
• Collaborate with software architects and engineers across the wider R&D organization.
• Establish strong reliability practices (logging/monitoring, retries/backoff, idempotency, concurrency controls, safe cleanup, traceability).
• Mentor engineers through code reviews, best practices, and technical leadership.
• Work effectively within an Agile Scrum / SAFe framework, participating in backlog refinement, sprint planning, technical estimation, PI planning, reviews, retrospectives, and cross-team coordination.

What you'll need

• Proficiency in Python (scripting, asynchronous programming, data processing frameworks).
• Proficiency in C# and the .NET ecosystem (building high-performance backend services, APIs, and enterprise applications).
• Strong foundation in SQL, relational and non-relational database design, and data warehouse concepts.
• Experience with data governance frameworks, metadata management, and data quality enforcement.
• Experience with data manipulation, including cleaning, transforming, validating, or combining datasets.
• Understanding of modular software design and reusable component development.
• Ability to read, develop, test, and debug code in both languages.
• Ability to work effectively with distributed teams and communicate technical topics clearly.
• Understanding of software testing and version-control practices.
• Experience working in an agile DevOps environment.
• Experience using GitLab or GitHub for collaborative software development.
• Familiarity with build pipelines, test automation, and automated deployment.
• Understanding of containerization concepts, with familiarity with technologies such as Docker, K8s, Helm, etc.
• Working knowledge of Agile delivery frameworks, including Scrum and SAFe, with experience operating effectively in sprint-based and cross-team planning environments.
• Strong communication and stakeholder management skills, with the ability to work effectively across global, cross-functional teams.
• Experience operating in structured product-development environments with strong quality, compliance, and delivery expectations.
• 6-9 years of experience level.

Nice to have

• Bachelor's or master's degree, preferably in a technical or scientific discipline.
• 6+ years of software engineering experience with a strong focus on backend development, data engineering, or analytics platforms.
• Experience with data manipulation and knowledge of data analytics concepts will be an advantage.

Details

• Work schedule: Standard (Mon-Fri).
• Environmental conditions: Office.
• Team is diverse and distributed, with colleagues across France and the Netherlands.