Data Engineer

Logistik, försäljning och verksamhet · Leveranskedja och transport · Inköp · Data engineering

I korthet

Atlas Copco is seeking a Data Engineer in Pune, India, to design and optimize data-driven sourcing processes. You will focus on SAP-centric systems, leveraging tools like Power BI and Databricks, and support AI initiatives to enhance decision-making and operational efficiency in a global manufacturing environment.

Ansvarsområden

  • Analyze, 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.
  • Support and optimize 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.
  • 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 quality issues.
  • Define and govern sourcing KPIs related to cost savings, supplier performance and risk, spend compliance, lead time, MOQ, and sourcing efficiency.
  • Enable data flows from SAP, GEMS, and ACDC into Databricks / Azure Data Lake in collaboration with Data Engineering teams.
  • Design and maintain Power BI dashboards for sourcing and management reporting.
  • Ensure consistent definitions, transparency, and traceability of sourcing data.
  • Identify and support AI-driven sourcing use cases such as supplier risk prediction, price trend analysis, and spend classification.
  • Collaborate with Data Science and Analytics teams to operationalise AI solutions.
  • Drive automation and advanced analytics initiatives supporting sourcing excellence.
  • Act as a key interface between Sourcing, Global IT, Analytics, and external partners.
  • Support user adoption of sourcing systems, reports, and dashboards.
  • Develop user documentation, training materials, and support change management for sustainable adoption.

Krav

  • Solid experience in sourcing or procurement processes within a manufacturing or industrial environment.
  • Strong hands‑on knowledge of SAP MM / SAP S/4HANA Procurement.
  • Experience working with business systems, analytics, or digital transformation initiatives.
  • Good understanding of data concepts, analytics, and reporting.
  • Power BI (data modelling, dashboard development).
  • Exposure to Databricks or modern data platforms.
  • data integration concepts, Basic understanding of SQL
  • University degree in Engineering (Information Technology, or equivalent experience)
  • 3 + years of experience

Önskade kvalifikationer

  • Strong analytical and problem‑solving skills.
  • Experience translating business needs into system and data requirements.
  • Comfortable working in cross‑functional and multicultural environments.
  • Structured, fact‑based, and quality‑oriented working style.
  • Familiar with Agile or project‑based ways of working.

Förmåner

  • We offer compensation that reflects the skills, experience, and responsibilities of the role.
  • Pay also depends on the country where the job role is based, as compensation practices vary across our markets.
  • During the recruitment process, we share clear information about the pay and benefits for your location, so you know what to expect before moving forward.
#Data Engineer#Sourcing#Procurement#SAP#GEMS#ACDC#Master Data Governance#Power BI#Databricks#Artificial Intelligence#Supply Chain
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Företag

Atlas Copco

Publicerade jobb

för 20 timmar sedan

Upphör

om 4 veckor

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Mellannivå

Platser

Pune, India

Kvalifikation

Kandidatexamen

Sökande

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