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Manager -Data Engineering

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Onsite

Manager -Data Engineering

Adecco

Manager -Data Engineering

Skills

Data EngineeringDatabricksData AnalysisMachine LearningAIPySpark

7 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


About the Company

German Client of Adecco

About the Role

We are seeking a highly experienced Technical Manager / Senior Data Engineer with 15+ years of experience in building and operating large-scale data platforms. The ideal candidate combines deep hands-on expertise in Databricks, Spark/PySpark, Delta Lake, cloud-native architectures, and MLOps with strong leadership capabilities to drive technical excellence and team growth. As a hands-on expert your role focuses on designing, developing, and optimizing scalable batch and streaming data pipelines that enable industrial analytics, digital products, and AI/ML solutions.

Responsibilities

  • Design, develop, and optimize scalable batch and streaming data pipelines that enable industrial analytics, digital products, and AI/ML solutions.
  • Work with large-scale structured and unstructured data.
  • Implement automation at scale.
  • Deliver secure, reliable, and cost-efficient data platforms.
  • Contribute across the complete ML lifecycle, including feature engineering, model deployment, monitoring, and governance.

Required Skills

  • 15+ years of experience in building and operating large-scale data platforms.
  • Deep hands-on expertise in Databricks, Spark/PySpark, Delta Lake, cloud-native architectures, and MLOps.
  • Strong leadership capabilities to drive technical excellence and team growth.
  • Proven track record of working with large-scale structured and unstructured data.
  • Experience implementing automation at scale.
  • Experience delivering secure, reliable, and cost-efficient data platforms.

Preferred Skills

  • Experience across the complete ML lifecycle, including feature engineering, model deployment, monitoring, and governance.

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