Data Engineer (Pune)

Data Engineer (Pune)

10 Aug
|
Atlas Copco Group
|
Pune

10 Aug

Atlas Copco Group

Pune

Your Role

Atlas Copco is on a continuous journey to strengthen data‑driven, standardised, and digitally enabled sourcing processes across its global operations.

As Data Engineer, you will play a key role in designing, optimising, and digitally enabling end‑to‑end sourcing processes, acting as a bridge between Sourcing, Global IT, and Data & Analytics teams.

Your focus will be on SAP‑centric sourcing processes, supported by GEMS, ACDC, robust master data governance, and advanced digital capabilities such as Power BI, Databricks, and Artificial Intelligence, enabling better decisions, transparency, and scalable sourcing operations.

You will work in a cross‑functional, international workplace, supporting sourcing teams with robust systems, high‑quality data, and actionable insights.

Job Responsibilities

Sourcing Process & Systems Engineering

Analyse, document, and improve end-to-end sourcing and procurement processes, including supplier onboarding, RFQ/RFP, pricing, contracts, source lists, and PO lifecycle.
Develop and maintain As-Is/To-Be process models, system flows,



and data dependencies.
Act as a process subject matter expert for sourcing-related systems and digital initiatives.

SAP, GEMS and ACDC Platforms

Act as functional SME for SAP MM / SAP S/4HANA sourcing and procurement processes.
Support and optimise sourcing workflows in GEMS and ACDC, ensuring alignment with SAP and business processes.
Translate business requirements into functional specifications for Global IT and solution partners.
Support UAT, deployments, rollouts, and hypercare for sourcing system enhancements.

Master Data Governance (MDG)

Support governance of sourcing master data, including supplier master, purchasing info records, pricing, and source lists.
Work with SAP MDG to ensure data quality, consistency, ownership, and approval workflows.
Define and monitor data quality rules for sourcing master and transactional data.
Support root cause analysis and remediation of data quali

📌 Data Engineer (Pune)
🏢 Atlas Copco Group
📍 Pune

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