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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building a data platform to support Gen AI and ML initiatives. Work requires AWS, Spark, production code in Java/Scala and advanced SQL. Responsibilities include designing, building and maintaining large-scale data pipelines and distributed processing, developing and optimizing ETL/ELT workflows, implementing cloud-native solutions, data modeling in a data lakehouse approach, ensuring data quality, governance and monitoring, and delivering secure, scalable, highly available data solutions.
from: 8 October 2026
to: 7 November 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:hybrid
Warszawa, Wola
Requirements
Expected technologies
Spark
Java
Scala
SQL
Optional technologies
Databricks
Snowflake
Our requirements
- 5+ years of experience in Data Engineering with exposure to Gen AI/ML-based applications
- Background in building and maintaining large-scale data pipelines and distributed processing systems using Spark with Java or Scala
- Familiarity with AI/ML, Generative AI, or data platforms supporting AI-driven initiatives
- Expertise in AWS cloud environments and cloud-native architectures
- Advanced proficiency in SQL
- Skills in data modeling and modern data lakehouse architectures
- Understanding of data quality, governance, monitoring, and operational best practices
- Competency in building secure, scalable, and highly available data solutions
- Showcase of ETL/ELT development experience
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Optional
- Hands-on experience with Databricks or Snowflake, with the ability to work across modern cloud-based data platforms (experience with both is advantageous)
- Background in Financial Services
Your responsibilities
- Design, build, and maintain large-scale data pipelines and distributed processing systems using Spark
- Develop and support data platforms that enable AI/ML and Generative AI applications
- Architect and implement solutions within AWS cloud environments using cloud-native patterns
- Build and optimize ETL/ELT workflows to support analytical and operational use cases
- Implement data modeling strategies aligned with modern data lakehouse architectures
- Ensure data quality, governance, and monitoring across all data assets
- Deliver secure, scalable, and highly available data solutions following operational best practices
- Collaborate with cross-functional teams to support AI-driven business initiatives
- Write advanced SQL queries and production-grade code in Java or Scala
About the project
We are seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines and distributed processing systems that power AI-driven initiatives. In this role, you will leverage your expertise in AWS, Spark, and modern data architectures to deliver secure, scalable, and highly available data solutions supporting Gen AI and ML applications.
This is how we organize our work
This is how we work
at the client's siteagilescrum
What we offer
We gather like-minded people:
We provide growth opportunities:
We cover it all:
Please, note:
Development opportunities we offer
- conferences in Poland
- development budget
- external training
- industry-specific e-learning platforms
- intracompany training
- mentoring
- soft skills training
- space for experimenting
- substantive support from technological leaders
- support of IT events
- technical knowledge exchange within the company
Recruitment stages
- 1.Recruiter Interview (30 min)
- 2.Technical Interview (90 min)
- 3.Manager Interview (60 min)
- 4.Meeting with the Project Team or Client (60 min, optional)
- 5.Welcome Aboard!
EPAM Systems (Poland) sp. z o.o.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
Senior Data Engineer (Java/Scala, Spark, AWS)
I apply to:
EPAM Systems (Poland) sp. z o.o.
Warszawa, Wola
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