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

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: 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

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.