Data Engineering Lead

We are seeking a seasoned Data Engineering Lead to join our project delivery stream. As a lead, you will direct a team of 2-4 Data Engineers, manage data processing operations for a particular market, and engage in hands-on engineering tasks utilizing Databricks on Azure. This role involves intensive collaboration with client stakeholders and contributes to the enhancement and development of our main platform.

Responsibilities

Oversee the execution of ETL processes using Databricks notebooks Manage and mentor a team of Data Engineers Ensure the accuracy and quality of data processing and reporting Collaborate closely with client stakeholders to understand and meet their data needs Participate in the central team’s efforts to implement improvements and evolve the main platform Support the integration of reporting and simulation applications with Power BI Requirements Minimum 5 years of relevant work experience in data engineering Proficiency in Databricks and SQL Expertise in Python / Pyspark and ETL processing Background in managing complex data engineering projects Capability to handle detailed and complex processes Strong collaboration and relationship-building skills Fluent English communication skills at a B2+ level Nice to have Knowledge of CI/CD and DevOps methodologies