Senior/Lead Data Software Engineer (Python, Spark, Azure)

HybridSalary not specified
Poland

Job Description, Responsibilities & Requirements

About the Position

We are seeking a Senior/Lead Data Software Engineer to join our team working on a scalable, ML-ready platform that enhances portfolio model development and deployment with advanced data governance and AI capabilities.

You will play a key role in migrating from an IaaS Big Data platform to Azure-native Databricks, optimizing data workflows and improving data quality. Join us to contribute to innovative solutions that boost client services and regulatory compliance.

Responsibilities

  • Migrate and optimize over 500 data jobs using Azure Databricks optimization techniques
  • Manage and process 12 TB of data efficiently across platforms
  • Tune machine learning models for Azure environments using Java Spark and Delta tables
  • Update and maintain libraries to address security vulnerabilities
  • Develop and maintain ETL/ELT pipelines using PySpark and related technologies
  • Collaborate with cross-functional teams to integrate GenAI capabilities into data workflows
  • Monitor data quality and implement improvements to ensure accuracy and reliability
  • Automate deployment and operational tasks using Terraform and GitLab CI/CD
  • Support data governance initiatives to comply with regulatory standards
  • Troubleshoot and resolve performance issues in data processing systems
  • Document system processes and provide technical guidance to junior engineers
  • Implement best practices for code quality and data security
  • Participate in code reviews and knowledge sharing sessions
  • Optimize costs associated with data storage and processing

Requirements

  • Proficiency in Python and Spark with at least 3 years in data engineering roles
  • Strong experience with Azure Databricks and PySpark
  • Proven expertise in designing and implementing ETL/ELT solutions
  • Experience migrating big data platforms to Azure-native services
  • Proficiency with Delta tables for model tuning
  • Knowledge of data governance and regulatory compliance frameworks
  • Familiarity with Docker, Kubernetes (AKS), and Terraform for infrastructure automation
  • Ability to manage large data volumes with high efficiency
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration abilities
  • English proficiency at B2 level or higher

Locations

  • Wrocław, Poland
  • Krakow, Poland

Employment Type

  • CONTRACTOR

Work Location Type

  • Hybrid

Job Details

Company name:
EPAM
Location:
Poland
Work Mode:
Hybrid
Posted on TheJob:
Apr 6, 2026
Last checked:
Jul 4, 2026
Posted on the source:
Jul 2, 2026
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