About Nimble

We solve our client's most difficult business challenges through technology. Our company partners with the most ambitious companies around the world creating long-term impact with the work with do. If you want to grow together, work on challenging products, Nimble is the right place for you!

Our Core Values

Extreme Ownership: We treat our clients business as ours.
Bias for Action: Execution is everything. We act swiftly, prioritize decisive moves, and maintain a strong bias for action to deliver results.
Intensity: We tackle challenges with high energy and focus, delivering results through bold, committed actions.
Pragmatism: We prioritize practical, straightforward solutions that deliver results, creatively tackling complex challenges with determination.
Outcome Over Process: We always work toward impactful outcomes, driving results that matter. Processes help us repeat what works, but meaningful outcomes remain our North Star.
Truth Seeking: We seek truth with intellectual honesty, sharp critical thinking, and fact-driven reasoning.

The Opportunity

We are building a new business unit focused on helping manufacturing companies in Thailand improve operational efficiency, reduce costs, and unlock data-driven decision making.

As a Forward Deployed Data Engineer, you will work directly with manufacturing clients to understand operational processes, integrate production data from multiple systems, and build data pipelines and analytical models that drive measurable business impact.

This is a highly cross-functional role combining data engineering, analytics, and client engagement. You will act as the bridge between manufacturing operations and advanced analytics solutions.

You will operate in an early-stage, high-impact environment, where your work will help shape both the analytics solutions delivered to clients and the underlying data platform that powers them.

This role is ideal for engineers who enjoy solving messy real-world data problems and building systems that directly improve operational outcomes.

What You Will DoClient Engagement & Deployment

Work closely with manufacturing clients to understand production workflows, operational constraints, and key performance indicators (KPIs)
Build strong relationships with plant managers, operations leaders, and technical stakeholders
Translate operational problems into structured analytical and data engineering solutions
Collaborate with client IT teams to ensure reliable data access and integration

Data Investigation & Engineering

Explore and understand complex ERP, MES, and production databases
Identify relevant data sources across production systems, ERP platforms, IoT sensors, and manual operational processes
Build and maintain SQL- and Python-based data pipelines to collect, transform, and validate operational datasets
Improve data quality, reliability, and accessibility for analytics and machine learning use cases
Investigate inconsistencies, missing data, and operational anomalies within client datasets

Analytics & Modelling

Develop analytical models and data-driven insights to optimize:

Production throughput
Downtime reduction
Inventory and supply chain efficiency
Yield improvement
Cost reduction initiatives

Support experimentation and validation of analytical models in real operational environments
Build dashboards and data visualizations to communicate insights clearly to operational stakeholders

Implementation & Impact

Translate analytical insights into actionable operational improvements
Work with client teams to operationalize analytics recommendations
Support change management and process improvements within manufacturing environments
Measure and report business impact such as efficiency gains, cost savings, or cycle time reductions

RequirementsTechnical Skills

Strong SQL skills and experience working with relational databases
Experience using Python for data analysis, automation, or data pipeline development
Experience building data pipelines, ETL processes, or analytics workflows
Familiarity with statistical analysis, forecasting, optimization, or machine learning techniques
Experience with data visualization or dashboarding tools is a plus
Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus
Experience with data transformation tools such as dbt or similar frameworks is an advantage

Manufacturing / Operational Exposure

Experience working with manufacturing, supply chain, logistics, or industrial datasets is highly preferred
Familiarity with ERP, MES, or IoT-based production systems is a strong advantage
Understanding of common manufacturing KPIs such as OEE, throughput, downtime, or yield is beneficial

Consulting & Communication

Comfortable working onsite with clients and operating in ambiguous environments
Strong problem-solving mindset and structured thinking
Ability to explain complex analytical concepts in clear, practical business terms
Ability to collaborate effectively with both technical teams and operational stakeholders
Comfortable working in Thai manufacturing environments

Why You'll Love Working Here

You'll feel proud of every product we ship. We care deeply about quality, design, and doing things right—our name stands for excellence.
You'll be surrounded by high performers. We're a tight-knit, ambitious team that pushes each other to grow and thrive.
We're built differently. We've been profitable and bootstrapped since day one—no VC pressures, just smart, sustainable growth.
We take pride in craftsmanship. Whether it's code, design, or delivery, we hold ourselves to a high bar—because the little things shape the big picture.
Process with purpose. We follow agile principles not just in theory, but in practice. Our engineers work with clearly defined user stories, estimate using story points, and deliver iteratively in focused 1–2 week sprints.
Growth is part of the job. Through regular one-on-ones, structured feedback, and a clear levelling framework, we support every team member's growth—not just in technical skills, but in communication, collaboration, and leadership.
AI allowance, your way. Each year, you'll get a dedicated budget to explore AI tools, platforms, and learning resources that boost your productivity and skills. Dive into Pluralsight, PragPub, e-books, and more—wherever your curiosity takes you.
We've got your back. From day one, you'll get private medical insurance, social welfare coverage, and a company care fund.
We invest in your future. We match your monthly Provident Fund contributions to help you build long-term security.
We support your move. If you're joining us from abroad, we'll take care of your visa, work permit, and provide a relocation package to help you settle in smoothly.
Flexibility that fits. We support a hybrid workstyle, giving you the freedom to find the right rhythm between home and office life.
Work with the right tools. We'll set you up with a MacBook and a large external monitor so you can work comfortably and efficiently.
A workspace that works for you. Our modern office in the heart of Bangkok (Interchange 21) is steps away from BTS Asoke and MRT Sukhumvit.
Stay fueled. Our kitchen is always stocked with drinks and snacks.
Take the time you need. Enjoy 25 days of paid leave a year (including public holidays), plus a sabbatical month every 3 years.
Celebrate your journey. From anniversary gifts to yearly company outings and spontaneous team activities, we make time for fun and appreciation.
...and more perks to make work feel better.

If you are a passionate Analytics Engineer looking to make a significant impact in a growing company, we would love to hear from you.

We keep our recruitment process practical and straightforward.

To learn more about how we work, check our handbook named Compass, Github organization, and Medium account.

Want to see what we have built Check our Dribbble and Behance accounts.

Want to keep in touch with us Follow us on Facebook, Instagram, and LinkedIn.

Nimble is an equal-opportunity employer.

Backend Developer - Java / Spring boot

Intern – AI Algorithm Development

Forward Deployed Engineer

Associate, User Incentive Operation (Free Shipping Max)

Application Architect (World-Check)