Senior Python Data Engineer

EPAM Systems

Wrocław, Poland • 1h ago • On-site

Senior

On-site

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Quick Facts

  • Role: Senior Python Data Engineer (Regulatory Reporting)
  • Work mode: On-site at the client office 3 days per week

Description

Design, implement, and maintain data-driven applications and end-to-end solutions for regulatory reporting. Engineer reliable, scalable data pipelines for sourcing, processing, distributing, and storing data—supporting batch and streaming for near real-time analytics. Contribute across the software development lifecycle with strong engineering practices and technical leadership.

Responsibilities

  • Design, implement, and maintain new and existing data-driven applications
  • Develop and deliver solutions end to end
  • Engineer reliable data pipelines for sourcing, processing, distributing, and storing data
  • Design data models for ever-growing volumes
  • Contribute to all stages of the software development lifecycle
  • Provide technical expertise, recommendations, and innovative solutions
  • Collaborate with the product owner and other technologists
  • Share expertise and best practices; contribute regularly to engineering culture

Requirements

  • Bachelor’s degree in Computer Science or equivalent in the IT field with 5+ years of experience in a similar role
  • Background in Big Data, data warehouse, and data lake
  • Hands-on experience building scalable data pipelines processing high-volume data in batch and stream for near real-time analytics
  • Expertise in Databricks, Python, and Spark
  • Familiarity with Delta Lake, DLT, and GitLab
  • Knowledge of cloud technologies such as Azure, Unix/Linux, and shell scripting
  • Expertise designing applications considering non-functional requirements around high throughput and low latency for data processing
  • Expertise building automated functional testing and CI/CD pipelines using industry-standard tools
  • Ability to quickly implement prototypes and iterate to harden the product with good engineering principles
  • Hands-on usage of AI in the engineering SDLC
  • English proficiency at B2 level or higher

Nice to have

  • Database development: SQL, PL/SQL, PostgreSQL, Azure SQL

Benefits

  • Career development programs; mentoring, thought leadership, soft skills, and well-being programs
  • Certifications: Anthropic, Gemini, GCP, Azure, AWS
  • English classes
  • Stable pay; Employee Stock Purchase Plan with a 15% discount
  • Benefits package: health insurance, MultiSport, shopping vouchers
  • Referral bonuses up to $2,000; office amenities (entertainment/relaxation zones, table tennis/football, snacks, coffee)
  • Corporate, social, and well-being events
  • Open to working with contractors (B2B terms agreed individually); benefits apply to employees only

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