Lead Data Platform Engineer - Real-Time IoT & Robotics

LionsBot International

Singapore

On-site

SGD 120,000 - 190,000

Full time

14 days+

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Job summary

LionsBot International is building autonomous cleaning robots for malls, airports, offices and industrial sites. We seek a data platform owner to take telemetry streams and turn them into a trusted, streaming-first data platform with a clear medallion architecture and semantic layer.

You will own ingestions to dashboards across 30+ countries. We expect 3+ years in production data roles, strong SQL and time-series design, and experience with real-time data pipelines.

Qualifications

  • 3+ years working with data in production: data engineering, analytics engineering, or backend with heavy data exposure.
  • Strong SQL and PostgreSQL with scalable data models and time-series focus.
  • Experience with streaming or real-time data pipelines and dashboards.
  • Ability to ship dashboards and metrics that teams actually use.

Responsibilities

  • Own the data platform end-to-end: ingestion, storage, modeling, serving, dashboards.
  • Design medallion architecture (bronze, silver, gold) for IoT telemetry.
  • Build metrics/semantic layer with clearly defined KPIs.
  • Run data quality, observability, and anomaly alerts like production software.
  • Architect databases at scale: schemas, indexes, aggregates, retention.
  • Make analytics self-serve with dashboards for ops, product, leadership.
  • Shape the roadmap for OLAP, orchestration, lakehouse patterns.
  • Collaborate with AI agents to ensure safe, correct querying.

Skills

SQL
PostgreSQL
Time-series DB
Kafka
Python
Go/Java
Dashboards

Tools

TimescaleDB
InfluxDB
Elasticsearch

Job description

LionsBot International is building autonomous cleaning robots for malls, airports, offices and industrial sites. We seek a data platform owner to take telemetry streams and turn them into a trusted, streaming-first data platform with a clear medallion architecture and semantic layer.

You will own ingestions to dashboards across 30+ countries. We expect 3+ years in production data roles, strong SQL and time-series design, and experience with real-time data pipelines.

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