# Data Engineer Lead at DT One

> Philippines · Staff · Data engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Adtone1%3A8034456003 (read 2026-11-10).

## Facts (observed)

- Company: [DT One](https://alderhq.app/companies/dt-one)
- Location text: Manila, Manila, Philippines; Singapore, Central, Singapore; Philippines; Singapore
- Where it can be done from (inferred): Philippines (evidence: "Location: Manila, Manila, Philippines; Singapore, Central, Singapore; Philippines; Singapo")
- Posted: 2026-10-19 (23 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-10
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.dtone.com/careers/apply?gh_jid=8034456003
- Skills listed (inferred): Python, Java, Scala, AWS, Docker, Spark, SQL, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### About the role

DT One is seeking a highly driven, self-motivated Data Engineer Lead based in Singapore or Manila. Designing, developing, and maintaining a data and AI platform that works at scale. Collaborate with Engineering Leads, Engineers, Data Scientists, Business Analysts, and other teams within DTOne to deliver a high-performing system that addresses daily operational challenges and supports organizational scalability.

### Key responsibilities

- Design and build a highly reliable data lake operating at scale with a strong emphasis on data quality, integrity, and availability.
- Build complex new data pipelines to continuously expand capabilities with new data sources.
- Develop tools, internal libraries, automated ETL creation, and data exploration frameworks to empower Data Scientists, Business Analysts, and Engineers.
- Migrate Machine Learning and Data Applications from POC/MVP stage to production grade (ensuring high availability, scalability, and security).
- Architect and scale infrastructure for Generative AI, LLM deployment, model fine-tuning, and vector retrieval (RAG).
- Monitor and maintain all data systems, including ETLs, Data Warehouses, and Data Applications.
- Provide actionable insights on Data Governance, industry best practices, and large-scale processing.
- Support cross-functional teams with guidance on data usage, processing, and platform adoption.
### Qualifications and Experience

- Expertise in medium- to large-scale data processing systems, preferably based on open-source systems or AWS services.
- Strong software development skills in one or more languages such as Python, Java, or Scala.
- Advanced knowledge of SQL and SQL Database administration.
- Hands-on experience with AWS infrastructure and Docker frameworks.
- Experience with distributed processing systems such as Spark, Presto, or Hadoop.
- Solid background in Data Warehousing and Data Modeling.
- Experience with MLOps frameworks, LLM orchestration tools (e.g., LangChain, LlamaIndex), and vector databases (e.g., Pinecone, Milvus, Qdrant).
### The ideal candidate is someone who

- Has a bias towards action and shipping, starting small and growing iteratively.
- Is obsessed with data compliance, security, quality, and integrity.
- Is passionate about learning new technologies, languages, infrastructure, and data analysis to drive meaningful impact.
- Stays creative and generates fresh ideas leveraging technical expertise.
- Enjoys sharing knowledge through coaching, events, and collaboration.
Sound like you? Apply now!

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adtone1%3A8034456003 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.