Lead Data Engineer (MS Fabric, PySpark)

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

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.