Senior Data Engineer, Engineered Solutions Focus

Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations.

Join us on our journey for a better tomorrow.

Your Role

Roles and Responsibilities:

Data Engineering & Reporting:

• Design & Development: Develop and maintain data pipelines and analytical reports by extracting, transforming, and loading (ETL) data from primary sources, including SAP data and other relevant systems.
• Analytics Reports: Prepare and deliver a diverse set of engineered-solutions analytics reports using tools like Power BI to provide actionable insights to the business.
• Technical Stack Expertise: Utilize deep, hands-on knowledge of SAP, SQL, and Databricks to ensure efficient data handling and accurate report generation.

Business Alignment & Knowledge Transfer:

• Business Understanding: Act as the dedicated point of contact to understand and interpret complex business requirements from Engineered Solutions.
• Knowledge Transfer: Actively participate in the transfer of knowledge to establish a strong technical and business backup within the GECIA team.
• Collaboration: Work closely with the GITH-DA team (Intelligence Hub) and the IT team to ensure alignment on data standards, infrastructure, and security protocols.

Data Governance & Security:

• Data Sensitivity: Ensure the highest standards of data security and governance when handling commercial and business-sensitive data.
• Compliance: Adhere to all Atlas Copco policies and best practices related to data privacy and security.

Required Skills and Knowledge:

• Educational Background: Computer Science Engineering qualification (B.E. or B. Tech or MTech) from a reputed university, or equivalent experience.
• Core Data Technologies (MUST HAVE):
• Expertise in SQL for complex querying, data manipulation, and optimization.
• Strong, hands-on experience with Databricks (or similar cloud-based big data platforms).
• Proficiency in SAP data structure and extraction methods (e.g., knowledge of SAP modules/tables relevant to engineering/logistics).
• Visualization/Reporting: Proven experience with Power BI for developing dashboards and self-service analytics models.
• Analytical Skills: Strong analytical and problem-solving skills with the ability to turn complex data into clear, compelling business narratives.
• Business Acumen: Demonstrated ability to quickly grasp and align technical work with business requirements, particularly in an engineering or manufacturing context.
• Professional Maturity: Proven experience handling sensitive commercial data and working with key stakeholders.

To succeed, you will need

Position:

Experience:

Location:

Atlas Copco, a global leader in industrial innovation, is looking for a talented and experienced Data Engineer/Analyst to be the dedicated resource for the Engineered Solutions-Airpower division within the Global Engineering Centre India (GECIA). Renowned for our commitment to excellence and sustainability, we deliver productivity solutions in various sectors including manufacturing, mining, and construction. Our culture thrives on innovation and continuous improvement.

Data Engineer/Analyst

In return, we offer you

What can you expect from us

• An opportunity to work with 150 years old, leading global product company
• A culture where we care about each other and world around us
• Best in class total reward program covering Insurances, Higher Education, flexible work timing
• This is a key role focused on handling team of highly competent people, drive them collaboratively and effective project execution and timely deliveries
• This role gives you enough opportunities to build your professional network among technical fraternity within the group
• This role also expects you to build a very strong network of local ecosystem and bring the benefits for Atlas Copco

Country and city description

India, Pune

City
Pune

Last Day to Apply

08-01-2026

Diverse by nature and inclusive by choice
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