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Data Engineer (Spark, Azure)
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Offer summary

(Summary generated by AI based on the full job description)

The project involves a data search engine for a global financial services firm. Technologies include Python, Spark, SQL, NoSQL, and Azure (Databricks, Data Lake, Data Factory). Responsibilities cover designing and optimizing the search engine, analyzing data and metadata, managing requirements, integrating with the data ecosystem, and monitoring performance. Benefits include private medical care, insurance, flexible working hours, and development programs.

newyou can start ASAP

Data Engineer (Spark, Azure)

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

from: 4 September 2026
to: 4 October 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:hybrid
Kraków, Grzegórzki
Kraków, GrzegórzkiFabryczna 1AView on map

Requirements

Operating system

Windows

Our requirements

  • 3 years + of experience as a Data Engineer, including exposure to large-scale or Big Data environments
  • Strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design
  • Strong programming skills in Python and Spark
  • Experience with Azure cloud services, including Azure Databricks, Data Lake, and Azure Data Factory, would be beneficial
  • Strong communication and stakeholder management skills, with the ability to translate search-related needs into technical solutions

Your responsibilities

  • Design, build, and optimize an internal data search engine
  • Analyze datasets and metadata to improve searchability, indexing, and relevance
  • Gather and refine search and data discovery requirements with business and IT stakeholders
  • Translate business needs into technical specifications and support Agile delivery
  • Ensure integration with the broader data ecosystem (data, platform, analytics teams)
  • Support testing and monitor search performance, accuracy, and usability
  • Prepare analytical reports on data availability and search effectiveness

About the project

We are looking for a Data Engineer who will take a leading role in designing and implementing a scalable enterprise search engine - a platform that provides stakeholders with an intuitive, efficient, and reliable way to query and explore the firm’s data landscape.
Our client is a leading global financial services firm providing wealth management, investment banking, and asset management services to clients worldwide.
This is a hybrid role requiring presence in the client's office in Krakow 3 days a week, with flexible working hours.

This is how we organize our work

This is how we work

at the client's siteagile

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

    Benefits

    • private medical care
    • life insurance
    • flexible working time
    • fruits
    • integration events
    • retirement pension plan
    • no dress code
    • video games at work
    • coffee / tea
    • parking space for employees
    • leisure zone
    • employee referral program
    • charity initiatives

    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.
    Data Engineer (Spark, Azure)
    I apply to:
    EPAM Systems (Poland) sp. z o.o.
    Kraków, Grzegórzki
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