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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on a scalable ML-ready platform enhancing model development, deployment and data governance for regulatory compliance. Tasks include migration from IaaS Big Data to Azure-native Databricks and optimization of data workflows and costs. Core tech stack: Python, PySpark, Azure Databricks, Delta tables and automation tools Terraform, GitLab CI/CD, Docker and AKS. Responsibilities cover migrating and optimizing 500+ ETL/ELT jobs, processing ~12 TB of data, tuning ML models for Azure, maintaining secure libraries, monitoring data quality, automating deployments, supporting data governance and producing technical documentation.
Senior/Lead Data Software Engineer (Python, Spark, Azure)
Company: EPAM Systems (Poland) sp. z o.o.
from: 8 October 2026
to: 7 November 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:expert
working mode:hybrid
Wrocław, Krzyki
Requirements
Expected technologies
Pytest
Spark
Microsoft Azure
PySpark
Docker
Kubernetes
Terraform Cloud
Gtilab
Our 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
Your 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
About the project
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.
This is how we organize our work
This is how we work
agile
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- documentation
- issue tracking tools
What we offer
We gather like-minded people:
We provide growth opportunities:
We cover it all:
Please, note:
Development opportunities we offer
- conferences in Poland
- development budget
- external training
- industry-specific e-learning platforms
- intracompany training
- mentoring
- soft skills training
- space for experimenting
- support of IT events
- technical knowledge exchange within the company
Recruitment stages
- 1.Recruiter Interview (30 min)
- 2.Technical Interview (90 min)
- 3.Manager Interview (60 min)
- 4.Meeting with the Project Team or Client (60 min, optional)
- 5.Welcome Aboard!
EPAM Systems (Poland) sp. z o.o.
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
Senior/Lead Data Software Engineer (Python, Spark, Azure)
I apply to:
EPAM Systems (Poland) sp. z o.o.
Wrocław, Krzyki
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