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Senior Data Engineer - Industry 4.0, Real-Time AI/IIoT

Cognizant

Greater London

On-site

GBP 70,000 - 90,000

Full time

Yesterday
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Job summary

A leading technology consultancy is seeking a Senior Data Engineer to develop scalable data platforms for Industry 4.0 initiatives. This role involves integrating data across OT and IT systems, managing data lakes, and ensuring robust governance frameworks. The ideal candidate will have strong experience in AWS or Azure platforms, proficiency in Python and SQL, and a solid understanding of data governance and quality. Join to support innovative AI/ML projects in manufacturing environments.

Qualifications

  • Cloud experience with AWS and/or Azure, particularly with data services.
  • Strong programming skills in Python and SQL for data manipulation.
  • Expertise in ETL/ELT processes and data streaming technologies.

Responsibilities

  • Architect and implement cloud-native data pipelines on AWS or Azure.
  • Integrate data from OT and IT systems using various communication protocols.
  • Design and manage data lakes, warehouses, and analytics platforms.
  • Implement governance policies and ensure data quality compliance.

Skills

Cloud Platforms: Deep experience with AWS and/or Azure
Proficiency in Python, SQL, PySpark
Expertise in ETL/ELT and Streaming technologies
Familiarity with OT data schema
Experience in defining semantic layers
Hands-on experience with data governance frameworks
Ability to implement data quality frameworks
Knowledge of data privacy and access control
Defining and creating MLOps pipelines

Tools

Apache Airflow
Kafka
Informatica
Power BI
Terraform
Job description
A leading technology consultancy is seeking a Senior Data Engineer to develop scalable data platforms for Industry 4.0 initiatives. This role involves integrating data across OT and IT systems, managing data lakes, and ensuring robust governance frameworks. The ideal candidate will have strong experience in AWS or Azure platforms, proficiency in Python and SQL, and a solid understanding of data governance and quality. Join to support innovative AI/ML projects in manufacturing environments.
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