DATA ENGINEER WITH DATA OBSERVABILITY
Bangalore, IN
About Atos Group
Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Data Engineer – Platform: Job Description
Role Overview
Sanofi's RnD Data Products team is looking for a Data Engineer (Platform) to design, build, and maintain data products, pipelines and transversal capabilities that support R&D decision-making across a global pharma organisation.
Key Responsibilities
- Design, develop, and maintain production-grade data platform with data observability capabilities.
- Build and optimise scalable data pipelines and ETL/ELT workflows.
- Develop and deploy cloud-native solutions on AWS.
- Implement and maintain CI/CD pipelines.
- Conduct code reviews and enforce coding standards and testing practices.
- Collaborate with data scientists, ML engineers, and product managers to deliver technical solutions.
- Contribute to architecture discussions and design decisions.
- Participate in Agile/Scrum ceremonies.
Required Skills & Experience
- 8+ years of professional data engineering experience with data infrastructure and data platform expertise.
- SQL and Python (primary) – clean, efficient, well-tested code.
- Proven track record of successfully designing, building, and deploying complex data platforms and data products, with deep knowledge of modern data engineering tech stack (Airflow, DBT, Snowflake and AWS native services).
- Experience with data observability tools (Datadog, Monte Carlo or customized tools).
- Cloud Ops – monitoring, cost management, infrastructure reliability.
- Git, CI/CD tools (GitHub Actions).
- Agile/Scrum.
Nice-to-Have
- Pharma, life sciences industry experience.
- RESTful API and microservices development.
- Data governance, lineage, or metadata management.
Soft Skills
- Clear communicator across technical and non-technical audiences.
- Collaborative and effective in globally distributed teams.
- Self-starter with strong ownership and initiative.
- Comfortable with ambiguity and shifting priorities.
- High attention to detail and quality.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.