Lead Data Engineer (Azure)

ABOUT THE ROLE In this role, you will design and deliver scalable data solutions within Azure environments while serving as a technical reference for the engineering team. Combining hands-on Data Engineering with technical leadership, you will work closely with clients and architects to translate business needs into reliable solutions across the delivery lifecycle, with a focus on data integration, performance, and quality. Responsibilities Design and develop scalable ETL and data integration pipelines across Azure data environments Own technical implementation and solution quality, ensuring reliable, scalable, and maintainable data processing Collaborate with clients, Solution Architects, and engineering teams to translate business requirements into effective data solutions Build and optimize data processing workflows using SQL, Python, Spark, PySpark, Azure Data Factory, and Apache Airflow Develop data models and schemas aligned with business requirements, architecture standards, and downstream consumption needs Implement data quality and validation controls to maintain data integrity and consistency across platforms Optimize SQL queries, ETL processes, and data workflows to improve performance and reliability Guide the Data Engineering team on technical decisions, engineering practices, troubleshooting, and successful solution delivery Requirements 5+ years of experience in Data Engineering, including hands-on development of ETL pipelines and data integration solutions +2 years of experience as Data Engineer Lead Advanced proficiency in SQL and Python for data processing, transformation, and optimization Strong experience with Spark and PySpark for distributed data processing Hands-on experience with Azure data technologies and cloud-based data platforms Advanced proficiency with Azure Synapse, Azure Data Factory and/or Apache Airflow for workflow orchestration and scheduling Strong understanding of Data Architecture, Data Modeling, Data Quality, Data Integration, and SQL and ETL performance optimization Proven ability to provide technical guidance to engineering teams and serve as a technical reference throughout project delivery Strong working proficiency in English for daily communication with international clients and teams Client-facing, communication, analytical, and problem-solving skills Nice to have Exposure to Microsoft Fabric, Hadoop, Hive, Kafka, Power BI, or Tableau as a plus Experience with healthcare or pharmaceutical data environments as an advantage Some of our benefits SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills Medical insurance for you and your family Food vouchers Extra days off Dare to Care, our holistic well-being program Anniversary Program to celebrate your time with us