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