Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
When you’re part of Thermo Fisher Scientific, you’ll do challenging work, and be part of a team that values performance, quality and innovation. As part of a successful, growing global organization, you will be encouraged to perform at your best. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make significant contributions to the world.
Location/Division Specific Information
Business Intelligence Delivery and Operations team is part of corporate IT function under Enterprise Technology Organization. BI Team is responsible for data service, data lake and analytics services for internal customers of Thermo Fisher Scientific
How will you make an impact?
The Data engineer Developer role provides an opportunity for data job seekers who currently hold a data science, data analytics, computer engineering, or like engineering degree. Individuals will be working with team of data analyst, data engineers in a fast-paced bi analytics environment. The candidate will contribute to development projects, pilots and advance best design practices.
What will you do?
AI & Data Solutioning: Support the prototyping, testing, and implementation of data and AI use cases using Databricks, SAP Business AI, or any cloud AI services
( aws or azure)
LLM & API Integration: Assist in building and integrating AI capabilities using LLM APIs, custom API connectors (such as MCP), or retrieval workflows to enhance analytics deliverables.
Data Engineering & Modeling: Participate in data acquisition, cleansing, transformation, and mapping to build clean data models for Analytical reporting and AI applications or use cases within SAP and non-SAP ecosystem.
Pipeline Development & ETL: Perform data source evaluations, design basic ETL/ELT pipelines, and perform data preparation and business rule development.
Process Automation: Identify and automate repetitive data workflows, testing tasks, and monitoring scripts using Python and SQL.
Documentation & Support: Create and maintain technical documentation for integrations and applications. Support incidents, requests, and operational support activities per standard ITSM lifecycles.
Operational Readiness: Participate in on-call schedules to address critical operational incidents and data pipeline issues as needed.
Performs all other related duties as assigned.
How will you get here?
Have 3–5 years of practical experience in data engineering, software development, or data analytics with hands-on exposure to modern data platforms.
Hands-on familiarity with writing clean Python code, consuming REST APIs, and working with modern AI frameworks.
Ability to work independently and as a member of a cross-functional team across the globe.
Strong willingness to learn enterprise systems (like SAP) and innovate new solutions.
Passionate about applications, analytics, and end-user productivity.
Exceptional customer focus.
Degree with major in computer science, data science, software engineering (or equivalent) from an accredited university (preferred).
Master's degree in computer science or related technical field from an accredited university (desired).
Tool & Technology Skills
Programming & SQL: Strong proficiency in Python (Pandas, API integration) and complex SQL queries (Must have).
Modern Data Stack: Practical experience with Databricks, PySpark, or similar cloud data platforms (Must have).
AI & API Integration: Experience working with LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI) or building API-driven integrations/prototypes (Must have).
SAP Knowledge: Basic familiarity with SAP data structures or exposure to tools like SAP BW/4HANA, SAP Datasphere, CDS views, or SAP Business AI (Desirable).
Protocols & Frameworks: Exposure to Model Context Protocol (MCP) concepts or orchestration frameworks like LangChain/LlamaIndex (Desirable).
BI & ETL Tools: Familiarity with traditional BI reporting tools (e.g., SAP BOBJ, Power BI) or SAP Analytics Cloud (Desirable).
Skills Required
- 3-5 years of practical experience in data engineering, software development, or data analytics
- Hands-on experience with modern data platforms such as Databricks, PySpark, or similar cloud platforms
- Strong proficiency in Python, including Pandas and API integration
- Strong proficiency with complex SQL queries
- Experience working with LLM APIs or building API-driven integrations and prototypes
- Ability to work independently and collaboratively across global, cross-functional teams
- Bachelor's degree in computer science, data science, software engineering, or an equivalent field
- Basic familiarity with SAP data structures, SAP BW/4HANA, SAP Datasphere, CDS views, or SAP Business AI
- Exposure to Model Context Protocol, LangChain, or LlamaIndex
- Familiarity with SAP BusinessObjects, Power BI, or SAP Analytics Cloud
- Master's degree in computer science or a related technical field
Thermo Fisher Scientific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thermo Fisher Scientific and has not been reviewed or approved by Thermo Fisher Scientific.
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Retirement Support — Retirement programs include a strong company 401(k) match and an employee stock purchase plan that add meaningful long‑term value. Feedback suggests these features stand out among core financial benefits even when base pay feels average.
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Healthcare Strength — Health coverage offers multiple national medical options alongside dental and vision, with company‑paid life and disability coverage. This breadth is considered a solid foundation even if some costs may not be the lowest among peers.
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Parental & Family Support — Paid parental and caregiver leave, backup care, adoption assistance, and specialized family resources are available. Feedback suggests these supports are a notable plus for colleagues managing family and caregiving needs.
Thermo Fisher Scientific Insights
What We Do
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
Why Work With Us
You will join a company which every colleague has the opportunity to create possibilities, for oneself, for our customers and patients. There is no more exciting place to be than at the forefront of solving problems which help improve lives around the world. As a company, we are committed to supporting your career aspirations and your journey.
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