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Data Engineer

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Hybrid

Data Engineer

Nestle (Thai) Ltd.

Data Engineer

Skills

Google Cloud PlatformSQL QueriesPythonData AnalysisAWSMicrosoft Power PlatformSupply ChainPower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bangkok, Thailand

Work mode:

Hybrid

Published on:

8 September 2026

What they need


POSITION SNAPSHOT

Location: Bangkok Company: Nestlé

Business Unit/Division: IT

Full-time

Bachelor’s or master’s degree in computer science, system analysis or a related study, or equivalent experience

5+ years of experience in the relevant area of expertise

A DAY IN THE LIFE...

The Data Engineer acts as a bridge between business needs and data technology solutions. Translating business requirements into scalable data products while effectively communicating insights, risks, opportunity to both technical and non-technocal audiences. Lead and collaborates with stakeholders across functions to understand business painpoints, opportunities, and enable data-driven decision-making through scalable and sustainable solutions. Act as strategic partner who helps business make a better decision.

  • Collaborate with Technical & Production and Supply Chain stakeholders to understand business needs and deliver trusted data and analytics solutions that improve visibility of production, manufacturing performance, inventory, supply planning, and operational efficiency. Ensure business data is accurate, accessible, and fit for decision-making, while driving continuous improvement through automation, standardization, and data quality initiatives that support operational excellence and digital transformation.

  • Lead and support data and analytics initiatives by coordinating project activities, managing priorities, and ensuring timely delivery of agreed outcomes. Build strong relationships with Technical & Production, Supply Chain, and other business stakeholders to understand needs, manage expectations, communicate progress, and drive adoption of data solutions that deliver measurable business value.

ARE YOU A FIT?

  • Bachelor’s or master’s degree in computer science, system analysis or a related study, or equivalent experience
  • 5+ years of experience in the relevant area of Data Engineer (Data modeling, data pipeline, ETL, ELT, CI/CD, automation and monitoring practices for data solutions)
  • Experience of resolving technical issues, including those involving 3rd parties
  • Experience in programming languages e.g., Python and SQL
  • Experience in using cloud services/cloud providers e.g., Azure, GCP or AWS.
  • Demonstrated ability to work with minimal supervision
  • Demonstrated ability to simplify technical terms for non-technical users
  • Strong verbal and written communication skills in English
  • Facilitates discussions, drives decisions and gains stakeholder buy-in
  • Experience working in a global environment and with virtual teams

Experience in using Microsoft Power Platform is a plus (Power Apps, Power Automate, Power BI, …)

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