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

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/Benefits
We gather like-minded people:

• Engineering community of industry professionals

• Friendly team and enjoyable working environment

• Flexible schedule 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:

• Outstanding career roadmap

• Leadership development, career advising, soft skills, and well-being programs

• Certification (GCP, Azure, AWS)

• Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru

• English classes

We cover it all:

• Stable income (Employment Contract or B2B)

• Participation in the Employee Stock Purchase Plan

• Benefits package (health insurance, multisport, shopping vouchers)

• Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more

• Referral bonuses

• Corporate, social and well-being events

Please, note:

• The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.

• We will reach out to selected candidates exclusively.

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.