Data Engineer

Location: On-site in Singapore, Central Singapore

Company

hirify.global designs and builds autonomous cleaning robots used in malls, airports, offices, and industrial sites across more than 30 countries.

What you will do

• Own the data platform end to end, including telemetry ingestion, storage, modeling, serving, and dashboards.
• Design a medallion architecture with bronze, silver, and gold layers for high-volume IoT telemetry.
• Build a canonical, documented, and version-controlled semantic layer for fleet KPIs.
• Implement production-grade data quality, observability, validation, deduplication, anomaly detection, and freshness SLAs.
• Design and optimize databases using schemas, indexes, continuous aggregates, compression, downsampling, retention, and partitioning.
• Enable self-service analytics and evaluate future OLAP, orchestration, transformation, and lakehouse tooling.

Requirements

• At least 3 years of production experience in data engineering, analytics engineering, or backend development with substantial data exposure.
• Strong SQL, PostgreSQL, and database design skills.
• Experience with streaming or message-queue systems such as Kafka, or strong backend experience with an interest in real-time data.
• Solid Python skills for pipelines and tooling, with the ability to read Go or Java services.
• Experience delivering dashboards and metrics used by business or operational teams.
• Autonomous working style, pragmatic decision-making, ownership, and clear communication.

Nice to have

• Production streaming experience, including at-least-once and exactly-once delivery.
• Experience with IoT, robotics, high-volume device telemetry, geospatial data, or time-series databases such as TimescaleDB or InfluxDB.
• AWS experience, especially EKS, RDS, and S3, plus exposure to Azure or GCP.
• Experience with OLAP engines, orchestration, transformation tooling, CDC pipelines, search engines, or graph databases.
• Experience making data platforms suitable for LLM-powered analytics agents, or familiarity with OpenRMF, ROS, or robotics communication stacks.

Culture & Benefits

• 0-to-1 ownership of the data architecture, standards, and tooling choices.
• Opportunity to grow the data function and eventually lead the team.
• Work with real-time data from thousands of robots operating across more than 30 countries.
• Small team, direct visibility with leadership, and rapid iteration.
• AI-assisted analytics already used in production workflows.