Senior AI Data Software Engineer

We are looking for a Senior AI Data Software Engineer to join our Data Competency Center and make our team even stronger. The projects and technologies we are working with are very diverse and cover all technologies currently present on the market and represented by open-source communities. We are providing our services to Clients in different domains:
Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.

• Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP
• Research and utilize Data Software Engineering technologies for effective data ingestion
• Process and transform data using tools such as Spark, Databricks and various Cloud Services
• Participate of next waves of AI Adoption – implement agentic development environments
• Understand and execute project-specific business logic through programming languages supported by the primary data platform
• Optimize data retrieval, develop dashboards, and perform data validation
• Collaborate with diverse teams including data scientists, analysts, and IT professionals
• Provide thought leadership on Data Software Engineering best practices and technology trends
• Maintain and ensure integrity and security of data sources and platforms
• Perform troubleshooting, debugging, and upgrading of data systems and applications

• 4+ years experience in software development with Data Software Engineering technologies
• Advanced knowledge of Python
• Proficient with Spark and Databricks
• Experience with cloud platforms such as Azure, Amazon Web Services, Google Cloud Platform
• Experience with and confidence in using AI development tools eg. Claude Code, Github Copilot, Cursor
• Strong understanding of different data file formats like JSON, Parquet, Avro
• Hands‑on experience with SQL and No
  
  SQL databases, including Cassandra and MongoDB
• Proficiency in data warehousing solutions, ETL processes
• Bachelor’s degree in Computer Science, Mathematics or related technical field
• Detail-oriented with excellent analytical and problem-solving skills
• Knowledge of software development methodologies and best practices
• Exceptional oral and written communication skills in English (B2+)

• Preferred experience with message queues, specifically Kafka, and working with large data transfer applications/middleware
• Production experience in search technologies such as Solr, Open Search, or Lucene is highly advantageous
• Knowledge of Scala or Java

• 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.