Data Engineer
Quick Summary
lakehouse + streaming, ideally time-series (InfluxDB / IIoTtelemetry) — not just batch BI. The Iceberg + Spark + MinIO combo is specific; open-table-formatexperience really stands out.
▪Designs, implements and operates the industrial data lakehouse — Spark, Iceberg, MinIO, InfluxDB, PostgreSQL
▪Builds end-to-end data pipelines: ingestion, quality, validation and governance
▪Implements and maintains data gateways for machine and sensor connectivity
▪Deploys advanced AI components — Qdrant, Neo4j, BrainCube analytics integration
▪Delivers clean, reliable data flows for advanced analytics; optimizes data infrastructure with DevOps and application teams
Responsibilities
~1 min read- →Designs and runs the lakehouse + end-to-end data pipelines.
- →Owns ingestion, data quality, validation and governance.
- →Stands up and maintains data gateways for machines and sensors.
- →Feeds clean, reliable data to the analytics and dashboard layers.
- →Works with DevOps to optimize the data infrastructure.
Requirements
~1 min readIIoT, time-series / telemetry data, manufacturing analytics, OEE.
- Must-have: lakehouse + streaming, ideally time-series (InfluxDB / IIoTtelemetry) — not just batch BI.
- The Iceberg + Spark + MinIO combo is specific; open-table-formatexperience really stands out.
- Ask how they'd tame a chatty sensor firehose plus late-arriving data.
- Neo4j / Qdrant is nice-to-have (it feeds the AI/analytics layer), not a gate.
Location & Eligibility
Listing Details
- Posted
- September 25, 2026
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- September 27, 2026
Signal breakdown
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