Overview

We are seeking a Lead Data Engineer with deep expertise in Microsoft Azure Fabric–based data platforms and AI-enabled data engineering.

This role blends hands-on technical leadership with architectural and team mentoring responsibilities, focusing on modern data engineering, big data processing, and AI-driven workflows in complex enterprise environments.

Responsibilities

  • Lead the design, development and optimization of scalable data engineering solutions using Azure Fabric and cloud-native technologies
  • Own end-to-end data pipelines including ingestion, transformation, storage and analytics
  • Architect and implement solutions leveraging OneLake (Delta / OpenLake) and Fabric experiences
  • Develop and optimize PySpark, SparkSQL and Python-based data processing pipelines
  • Work with Cosmos DB (NoSQL API) and other Cosmos DB variants to support high-performance data access patterns
  • Implement and maintain CI/CD pipelines and promote DevOps best practices
  • Collaborate with data scientists, AI engineers and product stakeholders to enable AI-driven analytics and insights
  • Mentor and guide junior engineers, setting coding standards and best practices
  • Ensure data quality, security, governance and performance across platforms
  • Contribute to technical decision-making and solution architecture discussions

Requirements

  • 9+ years of experience in data engineering with AI exposure
  • Expertise in Azure Fabric and end-to-end Fabric experience
  • Knowledge of OneLake (Delta / OpenLake)
  • Advanced skills in Python, PySpark and SparkSQL
  • Proficiency in Cosmos DB (NoSQL API) and other Cosmos DB variants
  • Understanding of DF Gen2 and M-code
  • Capability to implement CI/CD pipelines using Azure DevOps or equivalent tools
  • Experience with generic Azure services and Power BI integration, semantic models and performance considerations
  • Background in Agile or Scrum environments
  • Strong ownership mindset and ability to lead by example
  • Excellent communication skills for technical and non-technical audiences
  • Good understanding of the financial domain

Nice to have

  • Experience with code generation, including non-AI and AI-assisted approaches
  • Azure AI Foundry experience
  • Data Science fundamentals and collaboration with DS teams
  • Strong background in Big Data architectures and Spark ecosystems
  • Familiarity with financial instruments and financial services data
  • Hands-on experience with industry-standard LLMs (including GPT, Claude or similar)
  • Exposure to AI-enabled data platforms and intelligent analytics use cases

Poland (Prod)

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.

[epamgdo] Poland (About EPAM)

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.