Nimble10.04.26
AI SCORE 8.5

Forward Deployed Data Engineer - Remote Opportunity

$90K–$120K/year

About the Role

We are seeking a talented Forward Deployed Data Engineer to join our team at Nimble, where you will have the opportunity to work remotely while making a significant impact in the manufacturing sector. As a Forward Deployed Data Engineer, you will engage directly with clients to improve operational efficiency and drive data-driven decision-making.

What You'll Do

  • Work closely with manufacturing clients to understand their production workflows and operational constraints.
  • Build strong relationships with plant managers and technical stakeholders to translate operational problems into structured analytical solutions.
  • Collaborate with client IT teams to ensure reliable data access and integration.
  • Explore and understand complex ERP, MES, and production databases to identify relevant data sources.
  • Build and maintain SQL- and Python-based data pipelines to collect, transform, and validate operational datasets.
  • Investigate inconsistencies and operational anomalies within client datasets to improve data quality and reliability.
  • Develop analytical models and data-driven insights to optimize production throughput and reduce costs.
  • Support change management and process improvements within manufacturing environments.

Requirements

  • Strong SQL skills and experience working with relational databases.
  • Proficiency in Python for data analysis and automation.
  • Experience building data pipelines and ETL processes.
  • Familiarity with statistical analysis, forecasting, and machine learning techniques.
  • Experience with data visualization tools is a plus.
  • Understanding of common manufacturing KPIs such as OEE and throughput.
  • Comfortable working onsite with clients and in ambiguous environments.
  • Strong problem-solving mindset and structured thinking.

Nice to Have

  • Familiarity with cloud platforms like AWS, GCP, or Azure.
  • Experience with data transformation tools such as dbt.
  • Background in manufacturing, supply chain, or logistics datasets.

What We Offer

  • Remote work flexibility with a supportive hybrid workstyle.
  • Comprehensive relocation support for international candidates.
  • Private medical insurance and social welfare coverage.
  • 25 days of paid leave per year, plus a sabbatical month every 3 years.
  • Annual budget for AI tools and learning resources.
  • Modern office in Bangkok with a stocked kitchen.
  • Regular one-on-ones and structured feedback for personal growth.
  • Opportunity to work in a high-impact environment with a tight-knit team.
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely as a Forward Deployed Data Engineer, making a significant impact in the manufacturing sector with competitive benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Nimble

Explore Nimble careers in 2026 and find your perfect job with our user-friendly platform. Browse a variety of remote, hybrid, and office roles tailored to your skills. Use advanced filters to pinpoint your ideal position, track your applications seamlessly, and gain valuable insights into our company culture. Discover exciting career opportunities at Nimble and take the next step in your professional journey today!

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficiency in SQL and Python, with a strong understanding of ETL processes and data pipelines, allowing the candidate to effectively manipulate and analyze large datasets specific to manufacturing operations.

Self-motivated and disciplined to thrive in a fully remote work environment, demonstrating the ability to engage with clients directly and adapt to varying project requirements without direct supervision.

Experience in utilizing cloud platforms such as AWS or Azure for data storage and processing, combined with a mindset geared towards continuous learning in data visualization tools like Tableau or Power BI to present data insights effectively.

Learning Resources

SQL for Data Sciencecourse

Career Path

Forward Deployed Data Engineer(Now)Data Engineering Lead(1-2 years)Principal Data Engineer(3-5 years)

Market Overview

SQL Market Size 2024
$6.5B
Annual Growth
10.2%
AI Adoption in Data Engineering
45%
Investment in Cloud Data Solutions
+35%
Labour Demand for Data Engineers
+25%
Avg Salary for Data Engineers
$120K

Skills & Requirements

Required
SQLPythonData Engineering
Growing in Demand
Data WarehousingApache SparkData Governance
Declining
Traditional Data LakesT-SQL

Domain Trends

Rise of Real-Time Data Processing
With 60% of organizations moving towards real-time analytics, data engineers are increasingly required to implement streaming data solutions.
Increased Focus on Data Ethics
Around 70% of companies are prioritizing data governance and ethics, driving demand for engineers skilled in compliance and data privacy.
Integration of Machine Learning in Data Pipelines
Over 50% of data teams are incorporating machine learning models into their ETL processes, highlighting the need for engineers with ML expertise.

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