Senior Data Engineer (Azure)

Posted 8 Days Ago
Be an Early Applicant
4 Locations
Remote
Senior level
Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
The Role
The role involves designing and implementing Azure lakehouse architecture, building data pipelines, ensuring data quality and governance, and collaborating with stakeholders on scalable data solutions.
Summary Generated by Built In

Hello, let’s meet!

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.

You will be:
  • designing and implementing data ingestion, transformation and storage layers within an Azure lakehouse architecture,
  • building and maintaining data pipelines using Microsoft Fabric (Lakehouse, Data Engineering, Pipelines),
  • translating business and analytical requirements into scalable data models and pipelines,
  • implementing data quality, governance and security standards (GDPR, ISO‑aligned 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 evolution decisions (architecture, cost model, scalability, data sharing),
  • ensuring production‑ready, maintainable and well‑documented data solutions.
Your profile:
  • strong experience as a Data Engineer in cloud 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, security 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 Microsoft Fabric or Databricks,
  • 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:
  • familiarity with enterprise 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 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.

Recruitment Process:

CV review – HR call – InterviewClient Interview – Decision


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The Company
HQ: Atlanta, GA
3,254 Employees
Year Founded: 2001

What We Do

We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]

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