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We are seeking a Lead Data Software Engineer to join our team.
This role involves collaborating with the Data Architecture and Engineering team to modernize data architecture and enhance our strategic objectives around Data and AI. If you are passionate about building reliable data pipelines and have the skills to support transformative initiatives, we encourage you to apply.
Responsibilities
The remote option applies only to the Candidates who will be working from any location in Ukraine.
This role involves collaborating with the Data Architecture and Engineering team to modernize data architecture and enhance our strategic objectives around Data and AI. If you are passionate about building reliable data pipelines and have the skills to support transformative initiatives, we encourage you to apply.
Responsibilities
- Collaborate with Data Architecture and Engineering teams
- Build scalable and maintainable data pipelines
- Integrate raw data from various sources
- Process data efficiently for high-quality delivery
- Support consumption archetypes including digital applications, BI, AI, and data-sharing
- Conduct data analysis including profiling and quality checks
- Create dashboards to visualize data insights
- 5+ years of experience in data software engineering
- 1+ years of relevant leadership experience
- Experience in building data pipelines using SQL
- Proficiency in Python programming language
- Background in using PySpark for data processing
- Strong English proficiency
- Experience with Amazon Web Services
- Familiarity with Databricks
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Change projects and technology stacks within EPAM
- Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
- Consider relocation options in over 30 countries worldwide
- Participate in volunteer, charity programs and communities (both technical and interest-based)
- You can plan your individual career path together with your manager.
- Receive regular feedback from colleagues
- Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
- Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
- Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
- Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
- Study at EPAM Solution Architecture School with the instructors who are practicing architects
- Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
- Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
- Vacation and sick leave (including a sick leave without a medical certificate)
- A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
- Medical insurance for family members at corporate rates
- Company support during significant life events (childbirth or adoption, marriage, etc.)
- Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
- E-kids program - a free programming language training program for EPAMers' children
The remote option applies only to the Candidates who will be working from any location in Ukraine.
Key Skills
Ranked by relevance
ai
artificial intelligence
data analysis
python
aws
gcp
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- Posted
- Jul 23, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Ukraine
- Company
- EPAM Systems
Industries
Software Development
IT Services
IT Consulting
Categories
Information Technology
Engineering
Business Development
Related Jobs
3 roles aligned with this opportunity
View Job Details
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Full-stack .NET Software Engineer (React/Angular)
2026-05-27
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View Job Details
Related
Lead Generative AI Data Scientist
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