Technical Lead Data Engineer (Azure)

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

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

Some of our benefits

• SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career
• Medical insurance: Health coverage for you and your family
• Food vouchers: Additional support for your everyday expenses
• Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work-life balance
• Dare to Care: Our holistic well-being program, designed to support your overall wellness
• Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

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

SoftServe is a global digital services and consulting company with 30+ years of experience and 11,000+ professionals across 16 countries, helping businesses worldwide solve complex challenges through technology.

Our Data & Analytics Center of Excellence (CoE) brings together data specialists to drive excellence in data, analytics, and business intelligence. We deliver solutions across Data Strategy & Governance, Data Platform Engineering, Data Migration, and Reporting & BI.

In this role, you’ll design and deliver scalable data solutions in Azure environments, combining hands-on Data Engineering with technical leadership. As a technical reference for the engineering team, you’ll collaborate with clients and architects to translate business needs into reliable, high-quality solutions, focusing on data integration, performance, and quality throughout the delivery lifecycle.