arge-scale data initiatives, ensuring delivery excellence, and providing technical oversight across Python and Spark-based data solutions.

Roles & Responsibilities

Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards
Drive execution across multiple data initiatives within Azure and Databricks environments
Provide technical leadership in designing and implementing scalable data pipelines using Python, PySpark, and Spark
Collaborate with business stakeholders, data engineers, and architects to translate requirements into efficient data solutions
Ensure adoption of Agile practices including sprint planning, tracking, and continuous improvement
Establish governance frameworks, proactively manage risks, and ensure adherence to data engineering best practices
Communicate project progress, risks, and outcomes effectively to stakeholders
Lead, mentor, and guide data engineering teams towards high performance and delivery excellence

Required Skills

Strong experience with Databricks, PySpark, Python, and Spark
Expertise in Azure Data Services including ADF, ADLS, and Synapse
Proven experience in delivery management, stakeholder management, and Agile execution

14:T6a4,Delivery Manager – Data Engineering

Job Summary

We are seeking a Delivery Manager with strong expertise in data engineering to drive end-to-end delivery of data platforms using Azure and Databricks. The role focuses on leading large-scale data initiatives, ensuring delivery excellence, and providing technical oversight across Python and Spark-based data solutions.

Roles & Responsibilities

Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards

Technical Delivery Manager

Technical Delivery Manager