Senior Data Engineer (Java/Scala, Spark, AWS)

EPAM Systems; Warszawa; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Hybrid work model

Remote within Poland

Relocation opportunities

Employee stock purchase plan

Health insurance

Certifications & training

English classes

Well-being programs

Job summary

EPAM Systems in Warsaw is seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines and distributed processing systems powering AI and Gen AI initiatives. You will leverage AWS, Spark, and modern data architectures to deliver secure, scalable data solutions.

You will collaborate with cross-functional teams, write advanced SQL, and deliver production-grade code in Java or Scala.

Qualifications

• 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

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

Skills

Spark

SQL

Java

Scala

AWS

Gen AI

Data modeling

Data governance

ETL/ELT

Databricks

Job description

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.

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

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

Nice to have

• 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

We offer

• We gather like-minded people:
• Top tech minds driving innovation in AI, cloud and digital platform modernization
• Supportive team and agile, startup-like culture
• Hybrid by design mode and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• We provide growth opportunities:
• Career development programs
• Thought leadership, mentoring, soft skills and well-being programs
• Certification (Anthropic, Gemini, GCP, Azure, AWS)
• English classes
• We cover it all:
• Stable pay
• Participation in the Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
• Corporate, social and well-being events
• Please, note:
• Benefits listed above are available to employees only
• We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
• We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.