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Data Engineer

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Employment
Full-time — employment source
Business Unit/Division: IT Full-time Bachelor’s or master’s degree in computer science, system analysis or a related study, or equivalent experience
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Education & alternatives
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
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 expertise
Apply at nestleHRprdRMK

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 10, 2026today
Recorded sightings
1

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nestleHRprdRMK is hiring

44 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Power BI
Where the posting names them
- 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.
- 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
- 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, …)

Your next step

Complete your application on jobdetails.nestle.com. The employer’s form will show what is required.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,326, and the latest week had 1,326.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 solutions. S/He collaborates with stakeholders across functions to understand requirements, make data accessible and trustworthy, and enable data-driven decision-making through scalable and sustainable solutions. Be a strategic partner who help 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 expertise
  • Experience of successfully leading technical evaluations
  • 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
  • Experience with effective communication at different levels in the organization and in English
  • 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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Bangkok, TH

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