Industrial Data Engineer – DataOps / IoT

L&T Technology Services Limited (LTTS) is a global leader in Engineering and R&D (ER&D) services. With 719 patents filed for 57 of the Global Top 100 ER&D spenders, LTTS lives and breathes engineering. Our innovations speak for ourselves - World's 1st Autonomous Welding Robot, Solar 'Connectivity' Drone, and the Smartest Campus in the World, to name a few

LTTS' expertise in engineering design, product development, smart manufacturing, and digitalization touches every area of human lives - from the moment one wakes up till the time one goes to bed. With 69 Innovation and R&D design centres globally, we specialize in disruptive technology spaces such as 5G, Artificial Intelligence, Collaborative Robots, Digital Factory, and Autonomous Transport

We are looking for someone with key skills and able to perform the following roles & responsibilities :-

Malakoff, France

Role Summary:

6-9 years' experience in data platforms, industrial data flows, data lake implementation or IoT data ingestion.

Fluent in French and English; able to comply with confidentiality, cybersecurity and export-control requirements.

Responsibilities:

Prepare industrial data architecture components, ingestion flows, data quality rules and processing patterns.

Configure or specify data lake components including Spark, Iceberg, MinIO, InfluxDB and PostgreSQL.

Coordinate with OT connectivity and DevSecOps profiles to ensure data components are deployable, observable and maintainable.

Technical Knowledge:

Iceberg, InfluxDB, PostgreSQL, Spark, Camel-K, MinIO, Qdrant, Neo4j and BrainCube.

Industrial data collection, time-series data, data lake architecture, ETL / ELT, DataOps and pipeline monitoring.

Skills:

Strong understanding of industrial IT environments including SCADA, MES and IoT.

Ability to structure data collection, storage, validation, processing and monitoring.

Awareness of cybersecurity, access control, documentation and operational constraints.