Manager -Data Engineering

Adecco Portugal; Bengaluru; On-site; INR 2,000,000 - 4,200,000; Full time

Job summary

Adecco Portugal is seeking a highly experienced Technical Manager / Senior Data Engineer in Bengaluru to lead design, development, and optimization of large-scale data platforms. You will own batch and streaming pipelines, enabling industrial analytics, digital products, and AI/ML solutions.

The role requires hands-on expertise in Databricks, Spark/PySpark, Delta Lake, cloud-native architectures, and MLOps, paired with strong leadership to drive technical excellence and team growth.

Qualifications

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

Responsibilities

• Design, develop, and optimize scalable batch and streaming data pipelines for 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 ML lifecycle including feature engineering, model deployment, monitoring, and governance.

Skills

Databricks

Spark/PySpark

Delta Lake

cloud-native architectures

MLOps

leadership

data pipelines

Job description

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.