Back to jobs

Sr. Data Engineer – Supply Chain Analytics

Hyderabad

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Sanofi

What you’ll bring

All qualifications

Core experience

  • Experience: 7–10 years of experience in data engineering, with a strong focus on supply chain or operations analytics.
  • Experience building and managing workflows with Apache Airflow or equivalent orchestration tools - intermediate
Qualification wording
Experience: 7–10 years of experience in data engineering, with a strong focus on supply chain or operations analytics.
Experience building and managing workflows with Apache Airflow or equivalent orchestration tools - intermediate

Tools in this posting

  • Python
  • SQL
  • dbt
  • Snowflake
  • Airflow
  • Power BI
Source — Tool mentions in context
Main Responsibilities: - Data Pipeline Development — Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver supply chain data from multiple sources (ERP, IBP, operational systems) using Python, SQL, dbt, and Airflow. - Data Modelling & Architecture — Develop and optimize data models in Snowflake to support supply chain KPIs
- Experience: 7–10 years of experience in data engineering, with a strong focus on supply chain or operations analytics. - Technical Skills: Advanced proficiency in Python and SQL Hands-on experience with Snowflake (data modelling, performance tuning, query optimization) - Experience building and managing workflows with Apache Airflow or equivalent orchestration tools - intermediate
- Data Pipeline Development — Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver supply chain data from multiple sources (ERP, IBP, operational systems) using Python, SQL, dbt, and Airflow. - Data Modelling & Architecture — Develop and optimize data models in Snowflake to support supply chain KPIs - Analytics Enablement — Power BI dashboards understanding and self-service reporting solutions for supply chain stakeholders across global markets.
- Technical Skills: Advanced proficiency in Python and SQL Hands-on experience with Snowflake (data modelling, performance tuning, query optimization) - Experience building and managing workflows with Apache Airflow or equivalent orchestration tools - intermediate - Supply Chain Domain Knowledge — Good to have understanding of supply chain processes including demand planning, inventory management, logistics, and S&OP/IBP cycles.
- Data Modelling & Architecture — Develop and optimize data models in Snowflake to support supply chain KPIs - Analytics Enablement — Power BI dashboards understanding and self-service reporting solutions for supply chain stakeholders across global markets. - Data Quality & Governance — Implement data quality checks, monitoring, and lineage tracking to ensure accuracy and reliability of supply chain data assets.

Job description

View original posting ↗

Job title: Sr. Data Engineer


  • Location: Hyderabad

About the job:

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions.


As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health.


The Global M&S Services acts as a cornerstone to this effort. Our team is responsible for delivering and supporting Global M&S teams in the area of regulatory compliance, maintenance of product licenses and technical writing of CMC documents. The team members of the global M&S Services Hub will act as partners in carrying out tasks and fulfilling responsibilities to support global quality activities with a focus on technical writing.


Main Responsibilities:


  • Data Pipeline Development — Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver supply chain data from multiple sources (ERP, IBP, operational systems) using Python, SQL, dbt, and Airflow.
  • Data Modelling & Architecture — Develop and optimize data models in Snowflake to support supply chain KPIs
  • Analytics Enablement — Power BI dashboards understanding and self-service reporting solutions for supply chain stakeholders across global markets.
  • Data Quality & Governance — Implement data quality checks, monitoring, and lineage tracking to ensure accuracy and reliability of supply chain data assets.
  • Collaboration & Stakeholder Engagement — Partner with supply chain planners, SAP experts, and product owners to understand requirements and deliver impactful data solutions.
  • Continuous Improvement — Identify opportunities to optimize existing pipelines, reduce latency, and improve data availability for business decision-making.
  • Documentation — Maintain clear technical documentation for data pipelines, models, and processes.

About you:


  • Experience: 7–10 years of experience in data engineering, with a strong focus on supply chain or operations analytics.
  • Technical Skills: Advanced proficiency in Python and SQL
    Hands-on experience with Snowflake (data modelling, performance tuning, query optimization)
  • Experience building and managing workflows with Apache Airflow or equivalent orchestration tools - intermediate
  • Supply Chain Domain Knowledge — Good to have understanding of supply chain processes including demand planning, inventory management, logistics, and S&OP/IBP cycles.
  • Data Architecture — Experience designing scalable data architectures (data lakes, data warehouses, medallion architecture).
  • Education — Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field.

Pursue progress, discover extraordinary


Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on sanofi.wd3.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Hyderabad

Working pattern and location restrictions need checking in the full posting.

Work authorization
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
More source context
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Status in our records
Active
First seen by us
Oct 7, 2026
Recorded sightings
7
Last seen by us
Oct 9, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.