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

EPAM Systems; Kraków; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid by design

Remote work within Poland

Relocation opportunities

Stock Purchase Plan

English classes

Health insurance

Job summary

EPAM Systems seeks a Senior/Lead Data Software Engineer to build a scalable ML-ready platform, enhancing portfolio model development with advanced data governance and AI capabilities.

You will migrate from an IaaS Big Data platform to Azure-native Databricks, optimize data workflows, and improve data quality while collaborating with cross-functional teams to deliver compliant, high-value data solutions.

Qualifications

• 3+ years in data engineering or related roles
• Proficiency with Python and Spark
• Experience with Azure Databricks and PySpark
• Experience migrating big data platforms to Azure-native services
• Knowledge of data governance and regulatory compliance

Responsibilities

• Migrate and optimize 500+ data jobs using Azure Databricks
• Manage and process 12 TB of data efficiently
• Tune ML models for Azure environments using Java Spark and Delta tables
• Develop and maintain ETL/ELT pipelines with PySpark
• Collaborate to integrate GenAI capabilities into data workflows
• Monitor data quality and implement improvements for reliability

Skills

Python

Spark

Data engineering

Analytical thinking

Tools

Azure Databricks

PySpark

Delta tables

Docker

Kubernetes (AKS)

Terraform

Job description

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

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

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.