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

EPAM Systems (Poland) sp. z o.o.

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

Miejsce pracy: Warszawa

Technologies we use

Expected

  • Spark
  • Java
  • Scala
  • SQL

Optional

  • Databricks
  • Snowflake

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 site
  • agile
  • scrum

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

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

What 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

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

  • Recruiter Interview (30 min)
  • Technical Interview (90 min)
  • Manager Interview (60 min)
  • Meeting with the Project Team or Client (60 min, optional)
  • 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

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Oferta pracy dodana 9 dni temu