Lead Data Engineer

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three locations

Atlas Copco is a Swedish multinational industrial company that was founded in 1873. It manufactures industrial tools and equipment. The Atlas Copco Group is a global industrial group of companies headquartered in Nacka, Sweden.

In alignment with our strategic objectives at Atlas Copco Group to enhance our focus on Digital Technology initiatives and following the recent announcement of the Global IT Hub, we have now established as Global IT hub in Hinjewadi, Pune, India effective July 1, 2025. This initiative is designed to empower Digital Technology Practice to reach their maximum potential. At Global IT Hub India (IPW), we boast a formidable Data Analytics Expertise committed to delivering state-of-the-art analytical services to various Business areas, Divisions, Product Companies, Customer centres and Distribution centres across globe.

Lead Data Engineer

Key Responsibilities

• Design and build secure, reusable code base, data assets and pipelines (ETL/ELT).
• Own end-to-end data products: define purpose, roadmap, and delivery.
• Advise on data model design and architecture.
• Collaborate with stakeholders to deliver SMARTLINK IoT-based reports.
• Lead projects end to end (inception to adoption)

Skills & Experience

• 6+ years in data engineering, strong in SQL, Python, and data modelling.
• Experience with BI principles, dimensional modelling, and visualization.
• Familiarity with cloud data platforms and documentation practices.
• Interested in modern technologies and industrial data contexts.
• Knowledge of Azure tools (e.g., Databricks) is a plus.
• Understanding of agile methodologies or product ownership principles.

Competencies

• Effective and honest communicator with a structured approach to learning and feedback.
• Strong analytical and problem-solving skills.
• Leadership, initiative, and adaptability in fast-paced environments.
• Customer-focused, quality-driven, and results-oriented.

Stakeholder Engagement

• Translate business needs into technical solutions.
• Educate users on data tools and visualizations.
• Collaborate across levels to improve performance and insights.

Qualifications

• Degree in Computer Science, IT, Engineering, or equivalent experience.
• Fluent in English (oral and written).

What we offer

• Flexible working hours
• Flexible office and home working policies
• A modern infrastructure providing you with the latest tools and technologies at your disposal.
• A challenging environment which contributes to your constant learning and professional growth
• To be part of the data competence team which is constantly growing.
• Depending on the country you are enrolled in group healthcare insurance plans covering your medical needs.
• A chance to become part of a global, innovative company, supporting sustainable productivity.
• You get the opportunity to bring revolutionary ideas fostering innovation and execute qualified ideas.
• A friendly culture with immense professional and personal development, education, and opportunities for career growth
• Free access to LinkedIn Learning and many other internal and external trainings
• Atlas Copco offers trainings on a regular basis to acquire new skills.
• You get the opportunity to make the world a better place through our sustainable goals and by contributing and being part of our projects.
• Friendly and open culture of Swedish company. Very high visibility in the organization with No door culture, you can always talk to anyone in the organization.
• Free Canteen & Transport facility

Hybird:

This role offers a hybrid working arrangement, allowing you to split your time between working remotely and being on-site at our Atlas Copco in Pune, India.

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