Senior Data Software Engineer

We are seeking a Senior Data Software Engineer to join our team. This position combines direct technical involvement with leadership responsibilities, offering the chance to influence data architecture while overseeing delivery on intricate projects. You will work in close partnership with stakeholders and engineering teams to ensure solutions stay dependable and scalable over time. If you value blending hands-on technical work with accountability for delivery success, this role could be a strong fit for you.
Responsibilities
Build and sustain the codebase behind ETL and ELT pipelines, along with large batch, micro-batch, and streaming systems
Establish the infrastructure required to pull, convert, and load data efficiently from a range of sources using ADF, Spark, Kafka, or equivalent tools
Detect, plan, and execute internal process enhancements, such as automating repetitive tasks, improving data delivery, and reshaping infrastructure for stronger scalability
Create and roll out data services solutions using technologies including Spring Boot, ReactJS, NoSQL, and related UI and API tools
Oversee governance of delivery management and production workflows in accordance with the chosen delivery model
Function as the key contact for delivery-related matters with senior leadership and stakeholders, covering escalations, upsells, and ramp-downs
Guide technical decisions throughout delivery, ensuring the architecture stays solid and future-ready while implementation meets expected quality levels
Author user stories and their related acceptance criteria within an agile/scrum setup
Bring together efforts across different disciplines and stakeholders to keep delivery moving forward
Confirm that project delivery follows customer processes and methodologies, relying on strong familiarity with various delivery models and an agile-oriented approach
Put together a continuous delivery risk management strategy that supports proactive decision-making across the delivery lifecycle
Track and boost delivery productivity as time goes on
Support Data Engineers as a technical resource, helping guarantee their work is completed with quality and on time
Manage production support and deployment duties
Requirements
At least 3 years of experience in a comparable role
Solid proficiency in core Python for data engineering work
Capable in SQL for querying and handling data
Practical experience with Apache Spark for large-scale data processing
Familiarity with Anthropic Claude Code
Experience leveraging Databricks for data engineering and analytics purposes
Excellent English proficiency (B2 level or higher)
Nice to have
Experience with Apache Kafka for streaming data events
Familiarity with the Java language
Practical experience with PySpark
Exposure to Scala
Experience with Spark Streaming
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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

Work arrangement
Yes