Forward Deployed Data Engineer

We're Lance Data—a team of data engineering specialists helping businesses in Malaysia and globally actually use their data, not just collect it. We work hands-on with clients, from fast-growing startups to established enterprises, building the data infrastructure they need to make smarter decisions. No two projects look the same. That's what makes this interesting.

We're growing, and we're looking for a
Forward Deployed Data Engineer
to join our team in Petaling Jaya.

WHAT "FORWARD DEPLOYED" MEANS

You won't be hidden away writing code in isolation. You'll be on the front lines—meeting clients, diagnosing problems, designing solutions, and building systems that make a real impact. This is a hybrid role with a mix of on-site client engagements, collaborative work at our office, and remote flexibility.

OUR VISION — AND WHY THIS ROLE IS DIFFERENT

Here's what sets this apart from a typical data engineering consulting gig:

We're not just here to implement solutions using today's modern data stack. We're building toward something bigger. Our client engagements give us a front-row seat to the real problems data and AI teams face—and we're using that insight to build the next generation of modern data stack tools for both data and AI use cases.

If you want to solve interesting client problems today while shaping the tools that will define how teams work with data tomorrow, this is the place to do it. We're looking for people who want to build this future with us.

WHAT YOU'LL DO

→ Partner with clients to understand their data landscape, challenges, and business goals

→ Design and implement scalable data pipelines, architectures, and integration workflows

→ Build ETL/ELT processes to ingest data from diverse sources

→ Develop data models and warehouse architectures that support analytics and BI

→ Conduct technical discovery sessions and translate business needs into technical solutions

→ Communicate progress and recommendations to both technical and business stakeholders

→ Document solutions and enable client teams to own what you've built

→ Contribute insights from client work to inform our internal product development

WHAT YOU BRING

Technical Skills:

→ 3+ years in data engineering or related roles

→ Strong Python and SQL skills (non-negotiable)

→ Experience with cloud platforms (AWS, GCP, or Azure)

→ Data warehouse or data lakehouse experience (Snowflake, BigQuery, Redshift, Databricks)

→ Hands-on with orchestration tools (Airflow, Prefect, Dagster)

→ Familiarity with transformation frameworks (dbt, SQLMesh, Spark)

→ Comfortable deploying and working with open source tools

Consulting & Soft Skills:

→ Excellent communication—you can explain technical concepts to non-technical stakeholders

→ Comfortable with ambiguity and evolving requirements

→ Self-directed and able to manage multiple client engagements

→ Strong documentation habits

Bonus Points:

→ Previous consulting or client-facing experience

→ Exposure to streaming platforms, IaC tools, or BI tools

→ Experience across multiple industries

WHO YOU ARE

You're curious and adaptable—you like learning new tools and domains. You're client-focused and genuinely care about delivering value, not just shipping code. You flag issues early and propose solutions. You're comfortable context-switching between projects. You're also excited by the idea of not just using tools, but building them.

WHO WE'RE LOOKING FOR

We're primarily looking for Malaysian candidates who are fluent in English.

WHY LANCE DATA?

✓ Variety — Different clients, industries, and challenges

✓ Impact — Greenfield projects where your decisions shape the outcome

✓ Build the Future — Contribute to building next-gen data and AI tools, not just implement existing ones

✓ Growth — We're scaling fast; room to grow into leadership

✓ Flexibility — Hybrid setup with real remote flexibility

✓ Learning — We encourage a culture of continuous learning

✓ Equipment — We provide MacBooks for all employees

✓ Compensation — Competitive salary and performance bonus

If you thrive on variety, enjoy solving puzzles, and want to help build the future of data tooling—we'd love to hear from you.