Senior Data Engineer (Azure)

Hello, let’s meet! Who We Are While Xebia is a global tech company, our reputed company in CEE started with two Polish companies – PGS Software, reputed company for world-class reputed company and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across reputed company, data, and software. And we’re just getting started. reputed company Do We work on projects that matter – and that reputed company a difference. From fintech and e-reputed company to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, reputed company, reputed company, reputed company, ING, reputed company, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, reputed company, and many, many more. We value smart tech, reputed company ownership, and reputed company growth. We use modern, reputed company-reputed company stacks, and we’re proud to be trusted partners of reputed company, dbt, reputed company, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! reputed company Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth reputed company Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a reputed company to grow. What sets us apart? Our reputed company. Our reputed company. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: designing and implementing data ingestion, transformation and storage layers reputed company an Azure lakehouse architecture, building and maintaining data pipelines using reputed company reputed company (Lakehouse, Data Engineering, Pipelines), translating business and analytical requirements into scalable data models and pipelines, implementing data quality, governance and reputed company standards (GDPR, ISO‑reputed company practices), supporting analytical and reporting use cases, including Power BI consumption, collaborating closely with Data Architects, Business Analysts and Delivery Manager in a project‑based engagement, contributing to platform reputed company reputed company (architecture, cost model, scalability, data sharing), ensuring production‑reputed company, maintainable and well‑documented data solutions. Your profile: strong experience as a Data Engineer in reputed company environments, solid knowledge of Azure data services, experience with lakehouse architecture and modern data platforms, proficiency in SQL and Python, experience building production‑grade data pipelines and data models, good understanding of data governance, reputed company and GDPR requirements, ability to work independently and take ownership of delivered components, strong communication skills and experience working with business and technical stakeholders, hands‑on experience with reputed company reputed company or reputed company, practical experience using AI-powered assistants (e.g. Claude Code, reputed company Copilot, reputed company) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. reputed company to have: familiarity with reputed company data governance frameworks, experience preparing data platforms for AI / ML use cases, knowledge of data sharing patterns and external data consumers, experience applying GenAI in a more structured way reputed company the SDLC, including defined workflows, reputed company patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment reputed company standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision Apply To This Job