Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join Thermo Fisher Scientific, the world leader in serving science. As a Business Analyst III, you'll contribute to bridging business needs with technology solutions to enable our mission of making the world healthier, cleaner and safer. Partner with stakeholders across our global organization to analyze processes, gather requirements, and implement solutions that drive operational excellence and business growth.
Thermo Fisher Scientific is seeking a Senior Data Engineer to join the Supply Chain Analytics team and help build Digital Customer Collaboration capabilities that enable end-to-end supply chain visibility and collaboration with customers.
This role is ideal for a hands-on data engineering professional who can design, build, and operate scalable data pipelines and analytics solutions across enterprise supply chain platforms. The candidate will work closely with supply chain business teams, analytics partners, architects, and technology teams to connect customer, planning, procurement, manufacturing, logistics, and fulfillment data into reliable data products.
The role requires strong experience in Databricks, Apache Spark, Python, SQL, Airflow, and AWS-based data platforms, along with a strong understanding of data engineering best practices in an enterprise environment.
Key Responsibilities- Design, build, and maintain scalable data pipelines to support Digital Customer Collaboration and supply chain analytics use cases.
- Develop production-grade ELT / ETL workflows using Python, SQL, Databricks, and Apache Spark.
- Build data solutions that connect customer collaboration data with supply chain functions such as demand planning, supply planning, procurement, manufacturing, inventory, logistics, and fulfillment.
- Support the development of data products that improve end-to-end supply chain visibility, customer connectivity, and collaboration.
- Orchestrate and monitor data pipelines using Apache Airflow or similar workflow orchestration tools.
- Engineer cloud-native data solutions using AWS services such as S3, Glue, Lambda, EMR, Redshift, or related technologies.
- Apply lakehouse, Delta Lake, and medallion architecture patterns to create reliable and reusable data assets.
- Optimize Spark jobs and data pipelines for performance, scalability, reliability, and cost efficiency.
- Embed data quality checks, monitoring, exception handling, and governance controls into data pipelines.
- Partner with supply chain analytics teams, business stakeholders, data architects, analysts, and data scientists to understand requirements and deliver data solutions.
- Translate business requirements into technical designs, data models, pipelines, and reusable data products.
- Support testing, deployment, production support, and continuous improvement of enterprise data solutions.
- Mentor junior data engineers through code reviews, development standards, and engineering best practices.
- Experience with process improvement methodologies (e.g., Six Sigma, Lean)
- Willingness to travel up to 25% as needed
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Data Engineering, Supply Chain, or a related field.
- 6–10 years of IT experience, with strong focus on data engineering, data platforms, or analytics engineering.
- Strong hands-on experience with Databricks and Apache Spark.
- Advanced proficiency in Python and SQL.
- Experience building scalable ELT / ETL data pipelines in an enterprise environment.
- Strong experience with Apache Airflow or similar workflow orchestration tools.
- Experience working with AWS-based data platforms, including services such as S3, Glue, Lambda, EMR, Redshift, or equivalent cloud services.
- Experience designing and operating scalable, fault-tolerant, and production-ready data pipelines.
- Strong understanding of data modeling, data integration, data quality, and data pipeline monitoring.
- Ability to work independently as a senior individual contributor while collaborating across business and technology teams.
- Strong communication skills with the ability to work with supply chain business partners, analytics teams, architects, and engineering teams.
- Experience working with supply chain, customer collaboration, demand planning, supply planning, procurement, manufacturing, logistics, or inventory data.
- Experience supporting digital supply chain transformation or customer-facing analytics initiatives.
- Hands-on experience with Delta Lake, lakehouse architecture, and medallion architecture patterns.
- Familiarity with CI/CD, DataOps, version control, automated testing, and deployment practices.
- Experience building data products for enterprise analytics, dashboards, forecasting, planning, or operational reporting.
- Exposure to regulated, life sciences, manufacturing, or global enterprise environments.
- Experience working with cross-functional global teams across business, analytics, and technology.Core Competencies
- Strong technical ownership and hands-on execution mindset.
- Ability to build reliable, scalable, and maintainable data solutions.
- Strong analytical and problem-solving skills.
- Clear communication with both technical and business stakeholders.
- Ability to operate independently in a complex enterprise environment.
- Strong collaboration with supply chain, analytics, and technology teams.
- Continuous improvement mindset with focus on performance, quality, and business impact.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Engineering, Supply Chain, or related field
- 6 -10 years of IT experience, focusing on data engineering, data platforms, or analytics engineering
- Strong hands-on experience with Databricks and Apache Spark
- Advanced proficiency in Python and SQL
- Experience building scalable ELT / ETL data pipelines in an enterprise environment
- Strong experience with Apache Airflow or similar workflow orchestration tools
- Experience working with AWS-based data platforms, including services such as S3, Glue, Lambda, EMR, Redshift
- Experience designing and operating scalable, fault-tolerant, and production-ready data pipelines
- Strong understanding of data modeling, data integration, data quality, and data pipeline monitoring
- Ability to work independently as a senior individual contributor while collaborating across business and technology teams
- Strong communication skills with the ability to work with supply chain business partners, analytics teams, architects, and engineering teams
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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