Lead Data Engineer (MS Fabric, PySpark)
EPAM Systems
⚲ Gdańsk
Wymagania
- DF Gen2
- Azure Fabric
- CI/CD
- PySpark
- AI
- Cosmos DB
- M-code
- OneLake
- SparkSQL
- Python
Opis stanowiska
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.