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Bengaluru · On-site · 8-11 Yrs · Oct 8
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Data Engineer Industrial IoT / Manufacturing 4.0
Responsibilities
- Design, deploy, and operate Industrial Data Lake / Lakehouse platforms.
- Build end-to-end data pipelines covering ingestion, transformation, validation, quality, and governance.
- Develop and maintain IoT/IIoT data bridges for sensor and machine connectivity.
- Work with real-time data using Kafka/Redpanda and MQTT.
- Develop data processing solutions using PySpark and Apache Camel K.
- Work with SQL, PostgreSQL, InfluxDB and other time-series databases.
- Optimize data infrastructure in collaboration with DevOps and Application teams.
- Integrate data from machines, sensors, MES and manufacturing systems.
- Implement data quality, validation, governance, and data lineage practices.
- Support modern data and analytics platforms used for industrial applications.
- 8–9 years of relevant Data Engineering / Data Pipeline experience.
- Strong experience with Industrial IoT / IIoT / Manufacturing data.
- Hands-on experience with Data Lake / Lakehouse architecture.
- Strong PySpark / Apache Spark experience.
- Hands-on experience with Apache Camel K.
- Strong SQL skills.
- Experience with PostgreSQL, InfluxDB or other Time-Series databases.
- Experience with Kafka / Redpanda and MQTT.
- Experience in data transformation, validation, quality, and governance.
- Experience working with machine/sensor data or manufacturing/MES systems.
- Apache Iceberg, MinIO, Trino
- EMQX / MQTT-to-Kafka integration
- OpenMetadata, Collibra or similar data cataloguing tools
- Docker, Kubernetes, CI/CD and DevOps
- Experience with Qdrant, Neo4j, Braincube or similar AI/analytics platforms
- Strong understanding of Industry 4.0 / Smart Manufacturing
Qualifications
- Industry: Manufacturing / Industrial IoT
- Job Overview
- We are looking for an experienced Data Engineer with strong expertise in Industrial IoT (IIoT), Manufacturing 4.0, Data Lakes/Lakehouses, and data pipelines. The candidate will be responsible for building and managing scalable data platforms and integrating machine/sensor data from industrial environments.
Education
- Bachelor’s degree in Engineering, preferably Industrial Engineering / Manufacturing Engineering.
- Ideal Candidate
- Candidates from Manufacturing, Industrial Automation, Automotive, Industrial IoT, Smart Manufacturing, MES, or Industrial Technology backgrounds will be preferred.
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Data Engineer 4.0 at Kcyber Experts?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kcyber Experts may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer 4.0 role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer 4.0 remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer 4.0 role at Kcyber Experts?
- This is a mid-level Data Engineer 4.0 role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.