Lead Data Platform Engineer – Real-Time IoT & AI

Neara; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

On-site work

Job summary

Neara is hiring a Lead Data Engineer to own our data platform end-to-end, from ingestion and storage to modeling and dashboards. You will design a medallion architecture over real-time IoT telemetry and define a semantic layer with canonical metrics used across the business.

You will shape the roadmap for data capabilities, ensure data quality and observability, and collaborate with product, ops and leadership to deliver self-serve analytics at scale.

Qualifications

• 3+ years in production data engineering or analytics engineering.
• Strong SQL and PostgreSQL; design scalable schemas.
• Experience with streaming systems like Kafka.
• Proficient in Python; able to read Go/Java services.
• Experience shipping dashboards and metrics used in decision-making.
• Able to work autonomously with ambiguity.

Responsibilities

• Own data platform end-to-end from ingestion to dashboards.
• Design medallion architecture for high-volume IoT telemetry.
• Build a semantic layer with well-defined metrics.
• Ensure data quality, observability, and alerting in prod.
• Shape roadmap for OLAP, orchestration, lakehouse patterns.
• Collaborate with backend, product, and leadership teams.

Skills

Advanced SQL & PostgreSQL

Kafka / streaming

Python

Go / Java

Data modeling

Dashboards / BI

Education

Bachelor's degree in Computer Science or related field

Tools

TimescaleDB

Airflow

AWS (EKS, S3)

Job description

Neara is hiring a Lead Data Engineer to own our data platform end-to-end, from ingestion and storage to modeling and dashboards. You will design a medallion architecture over real-time IoT telemetry and define a semantic layer with canonical metrics used across the business.

You will shape the roadmap for data capabilities, ensure data quality and observability, and collaborate with product, ops and leadership to deliver self-serve analytics at scale.