Azure Data Enginer

O projekcie: Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce 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, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond 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 via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart?  Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. Wymagania: Your profile:- strong hands-on experience with Azure data platforms, including data ingestion, storage, and processing.- solid understanding of data pipeline design, development, and maintenance,- practical experience with ETL / ELT processes and data integration patterns,- experience with Databricks,- experience working with monitoring and orchestration of data workflows,- ability to work independently within an existing team and take ownership of assigned tasks,- very good communication skills in English,- familiarity with cloud-native data architecture principles,- experience supporting production data platforms with a focus on stability and operational excellence,- ability to ramp up quickly in an existing environment with minimal disruption,- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,- work from the European Union region and a work permit are required. Nice to have:- previous experience in banking or financial services,- exposure to regulated environments and data governance practices,- experience working in distributed or nearshore teams,- experience participating in or supporting knowledge transfer and transition phases,- experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt 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 beyond standard approaches. Work from the European Union region and a work permit are required Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision Codzienne zadania: - developing and maintaining data ingestion pipelines from source systems to the raw data layer, - onboarding new data sources into the data platform, - contributing to the ongoing development and improvement of the Azure-based data platform, - supporting and enhancing monitoring and orchestration of data workflows, - participating in daily activities as a fully embedded member of the client’s internal data team, - assisting with knowledge transfer from outgoing engineers to ensure a smooth transition, - proactively identifying opportunities to improve reliability, performance, and maintainability of data pipelines.