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We are looking for a Senior Data Software Engineer to join our team. This role combines hands-on engineering with technical leadership, offering the opportunity to shape data architecture while guiding delivery across complex projects. You will work closely with stakeholders and engineering teams to ensure robust, scalable solutions are delivered consistently. If you enjoy balancing deep technical work with ownership of delivery outcomes, this position offers a great fit.

Responsibilities

Architect and maintain the code base for ETL and ELT pipelines, along with large batch, micro-batch, and streaming systems
Build the infrastructure required for optimal extraction, transformation, and loading of data from diverse sources using ADF, Spark, Kafka, or similar technologies
Identify, design, and implement internal process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for greater scalability
Design and implement data services solutions using technologies such as Spring Boot, ReactJS, NoSQL, and related UI and API tools
Ensure governance of delivery management and production processes according to the selected delivery model
Act as the single point of responsibility for delivery-related matters with top management and stakeholders, including escalations, upsells, and ramp-downs
Provide technical leadership for delivery, ensuring a sound and future-proof architecture is planned and implementation meets required quality standards
Write user stories and associated acceptance criteria within an agile/scrum workflow
Coordinate across multiple disciplines and stakeholders to align delivery efforts
Ensure projects are delivered in line with customer processes and methodologies, with strong familiarity in various delivery models and a focus on agile approaches
Establish a continuous delivery risk management strategy that supports proactive decisions and actions throughout the delivery lifecycle
Measure and improve delivery productivity over time
Serve as a consultant to Data Engineers, supporting quality and timely delivery of their work
Perform production support and deployment activities

Requirements

A minimum of 3 years of relevant experience
Strong core Python skills for data engineering tasks
Proficiency in SQL for data manipulation and querying
Experience with Apache Spark for large-scale data processing
Familiarity with Anthropic Claude Code
Experience with Databricks for data engineering and analytics workflows
Excellent English proficiency (B2 level or higher)

Nice to have

Experience with Apache Kafka for event streaming
Familiarity with Java
Experience with PySpark
Familiarity with 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

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