Manager – Data Engineer

About the role

We are looking for a Manager – Data Engineer to lead a team in designing and maintaining robust, scalable data pipelines within a fast‑paced telecommunications environment. The role involves overseeing the development of enterprise‑grade data platforms while ensuring data governance, quality, and performance across cloud and hybrid systems.

Key responsibilities

• Design, develop, and maintain scalable, reliable data pipelines and integration workflows across multiple systems.
• Lead a team of data engineers to build and support enterprise‑grade data platforms.
• Ensure data quality, lineage, and governance are embedded in engineering solutions.
• Optimize data ingestion, transformation, and storage in cloud and hybrid environments.
• Collaborate with architecture, governance, and analytics teams to align with business needs and platform strategy.
• Stay current with evolving data engineering best practices and emerging technologies.

Required profile

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering or related field (Master’s preferred).
• 6–10 years of data engineering, ETL development or data warehousing experience, with at least 2 years in a team‑lead or managerial capacity.
• Hands‑on experience building and maintaining data pipelines in high‑volume transactional environments.
• Relevant certifications such as Google Cloud Professional Data Engineer, AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate, Apache Spark or Kafka.

Required skills

• Data lakehouse architecture, real‑time streaming and batch processing.
• Cloud platforms: Google Cloud, AWS, Microsoft Azure.
• Apache Spark and Apache Kafka.
• ETL development and data pipeline construction.