Level

Sanofi

Sr. Data Engineer – Supply Chain Analytics

Sanofi is hiring a Sr. Data Engineer – Supply Chain Analytics in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Design and maintain scalable ETL pipelines and data models for supply chain analytics using Python, SQL, dbt, and Snowflake.

pythonsqldbtairflowsnowflakepower-bi
etldata-modelingdata-pipelinessupply-chain-analytics

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!

How we rate this

Sr. Data Engineer – Supply Chain Analytics at Sanofi rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ETLData ModelingData PipelinesSupply Chain AnalyticsPythonSQLdbtAirflow

Questions you could be asked

  1. Tell me about a project where etl was part of your work. What did you do?
  2. Tell me about a project where data modeling was part of your work. What did you do?
  3. Tell me about a project where data pipelines was part of your work. What did you do?
  4. Tell me about a project where supply chain analytics was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: ETL, Data Modeling, Data Pipelines, Supply Chain Analytics, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review

Get new data engineer jobs by email

One email a week with the new data engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Data roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Sanofi

More data engineer jobs

Related searches

Same AI level

Jobs by city