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Data Engineer (Spark, Azure)

EPAM Systems

⚲ Krakow

Do uzgodnienia

Wymagania

  • ETL
  • Azure Databricks
  • Azure Data Factory
  • Azure Data Lake
  • Data modeling
  • SQL
  • Python
  • Data Engineering
  • NoSQL
  • Apache Spark

Opis stanowiska

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.

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

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

We offer
• We gather like-minded people:Engineering community of industry professionals
• Friendly team and enjoyable working environment
• Flexible schedule 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:Outstanding career roadmap
• Leadership development, career advising, soft skills, and well-being programs
• Certification (GCP, Azure, AWS)
• Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
• English classes
• We cover it all:Stable income (Employment Contract or B2B)
• Participation in the Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
• Referral bonuses
• Corporate, social and well-being events
• Please, note:The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.
• We will reach out to selected candidates exclusively.
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.

🔍 Dekoder Ogłoszenia

🟢
take a leading role in designing and implementing a scalable enterprise search engine
Oczekuje się, że kandydat będzie miał znaczący wpływ na architekturę i rozwój systemu, a nie tylko będzie wykonywał zlecenia.
🔴
intuitive, efficient, and reliable way to query and explore the firm’s data landscape
Jest to ogólny opis celu, który może być trudny do osiągnięcia w praktyce, zwłaszcza w złożonym środowisku finansowym.
🔴
flexible working hours
Może oznaczać elastyczność, ale też konieczność dostosowania się do potrzeb zespołu lub klienta, co może prowadzić do nieregularnych godzin pracy.
🟡
Gather and refine search and data discovery requirements with business and IT stakeholders
Kandydat będzie musiał aktywnie komunikować się z różnymi działami, co wymaga dobrych umiejętności interpersonalnych i zdolności do negocjacji.
🟡
Ensure integration with the broader data ecosystem (data, platform, analytics teams)
Wymaga to zrozumienia i współpracy z innymi zespołami, co może być wyzwaniem w dużej organizacji.