Senior Data Engineer (Azure Fabric)

We are looking for a Senior Data Engineer with expertise in AI-enabled data platforms and the Azure Fabric ecosystem. This role involves designing, building and optimizing modern data pipelines and analytics solutions, collaborating with architects, lead engineers and business stakeholders to deliver robust, scalable and AI-integrated data solutions. Responsibilities • Design, develop and maintain scalable data pipelines using Azure Fabric • Implement data processing and transformation with Python, PySpark and SparkSQL • Work with OneLake (Delta / OpenLake) for efficient data storage and analytics • Develop and support solutions using Cosmos DB (NoSQL API) • Contribute to Fabric workloads including Data Engineering, Data Factory Gen2 and Lakehouse • Implement and maintain CI/CD pipelines and follow DevOps best practices • Integrate data solutions with Power BI for reporting and analytics • Collaborate with AI, data science and product teams to support AI-driven use cases • Ensure data quality, performance, security and reliability • Participate in Agile ceremonies and contribute to sprint delivery • Support production issues and continuous improvements Requirements • 5+ years of experience in Data Engineering or related engineering roles • Strong hands-on experience with Azure Fabric • Proficiency in Python • Solid experience with PySpark and SparkSQL • Experience with Cosmos DB (NoSQL API) • Hands-on experience with OneLake or Delta Lake and OpenLake concepts • Knowledge of DF Gen2 and M-code • Experience with CI/CD pipelines using Azure DevOps or equivalent • Good understanding of Azure services • Experience integrating data solutions with Power BI • Strong problem-solving and analytical skills • Ability to work independently on complex tasks • Clear communication and collaboration skills • Ownership mindset with attention to quality and performance • Experience working in Agile or Scrum environments • Upper-intermediate proficiency in English (B2+) Nice to have • Experience with code generation including non-AI and AI-assisted approaches • Expertise with other Cosmos DB variants such as Mongo, Cassandra or Table APIs • Exposure to Azure AI Foundry • Experience with Data Science workflows • Strong background in Big Data and Spark ecosystems • Knowledge of financial instruments and financial services data • Hands-on experience with industry-standard LLMs including GPT, Claude or similar 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.