We are looking for a skilled Chief Data Engineer to join our remote team and play a pivotal role in creating cutting-edge and scalable data solutions. This position involves leading technical teams, shaping system architecture, and delivering impactful results for complex data-related challenges. The ideal candidate will bring a strong technical foundation, proven leadership experience, and a passion for innovation and team development.

Responsibilities

• Architect and implement robust and scalable data systems
• Build and manage data pipelines to ensure high-quality and accessible data
• Work closely with stakeholders to identify requirements and deliver tailored solutions
• Offer technical leadership and mentoring to engineering teams
• Enhance system reliability, scalability, and performance
• Promote best practices and ensure the delivery of well-structured, maintainable code
• Review code and actively participate in technical discussions
• Engage in pre-sales activities, client collaborations, and rapid-response initiatives
• Encourage knowledge sharing through meetups and technical presentations
• Stay updated on advancements in technology and introduce innovative tools and approaches

Requirements

• Degree in Engineering, Computer Science, or a related discipline
• Seven or more years of experience as a Data Engineer
• At least two years of experience in leading teams and managing technical projects
• Involvement in a minimum of two complete project lifecycles or multiple development phases
• Extensive hands-on experience in coding and addressing complex technical challenges
• Expertise in Python for automation, data analysis, and processing
• Comprehensive knowledge of AWS services for cloud-based data solutions
• Proven experience with Databricks for advanced analytics and machine learning workflows
• Strong ability in system design and architecture, balancing strategic vision with practical implementation
• A history of delivering measurable technical impact across projects and teams
• Broad understanding of various technical domains and stacks
• Commitment to mentoring team members and sharing knowledge across the organization
• Ability to innovate and implement new tools, frameworks, and solutions
• Flexibility to work across different programming languages, stacks, and areas of expertise
• Proficiency in English at a B2 level or higher for effective communication

Nice to have

• Hands-on experience with technologies for real-time data processing and streaming
• Understanding of advanced AI and machine learning tools and frameworks
• Knowledge of serverless computing solutions for efficient data workflows

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn