Lead Data Engineer (Azure)

Worldwide | Oct. 16, 2026

Report as Closed

Company: Softserve

Country: Worldwide

Type: Remote

Employment: Full-time

Description: We are advisors, engineers, and designers solving business challenges with innovative technology solutions. #StandWithUkraine

 SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

Our team of more than 100 specialists works with one of the biggest US-based leaders in the Smart Home industry. It’s been 9 years since we started our cooperation. The primary focus of our client is on ensuring safety and security. They successfully applied it in a smart home solution that saves you resources and ultimately simplifies your life.We develop and support applications used by sales representatives to sell the company products. 

• 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

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.

• 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

• 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

• Exposure to Microsoft Fabric, Hadoop, Hive, Kafka, Power BI, or Tableau as a plus
• Experience with healthcare or pharmaceutical data environments as an advantage

Apply here:

Web: Apply here

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