Join our dynamic team as a Lead Data Engineer, where you will contribute both independently and collaboratively to deliver top-tier data integration solutions.

Your knowledge of investment financial data and expertise in agile methodologies will be key as you work with cross-functional teams to enhance our trading platform and reporting functionalities. If you are results-driven and ready to make a meaningful impact, we encourage you to apply.

Responsibilities

• Collaborate with the Product Owner, Scrum Master, Subject Matter Experts, and Development team to define and analyze user stories tracked in Jira
• Define, design, and implement software solutions using a modern technology stack
• Showcase solutions and explain business value to stakeholders during sprint showcases
• Work in configuration activities to support data integration initiatives
• Maintain a balance between independent work and team collaboration as needed
• Apply agile methodologies to deliver quality products iteratively
• Drive improvements in data engineering processes and practices

Requirements

• Bachelor’s degree in a technical discipline or equivalent industry experience
• At least 5 years of experience as a professional Data Engineer
• More than 1 year of relevant leadership experience
• Expertise in SQL, including creating views, stored procedures, and functions
• Background in data modeling with a focus on best practices
• Proficiency in Snowflake for data warehousing and analysis
• Understanding of data warehouse principles and architecture
• Familiarity with AWS and its data-related services
• Experience in Python, particularly for ETL tasks using Pandas and NumPy
• Capability to implement and maintain CI/CD pipelines with tools like Bitbucket/GitHub and Bamboo
• Fluency in English

Nice to have

• Background in financial systems and reporting, focusing on investments accounting or general ledger
• Knowledge of integrating large-scale ERP or financial investment systems
• Competency in delivering data solutions using AWS tools such as S3, Glue, Athena, and Lambda through agile methodologies
• Familiarity with business intelligence tools and reporting platforms
• Skills in agile practices, including story estimation and sprint planning

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