Regular Data Engineer | Inetum
Summary
Designs and builds scalable data platforms using Microsoft Fabric and Azure to process enterprise data into actionable insights for finance, manufacturing, and other business domains.
Join us as a Data Engineer and help shape the future of data-driven decision-making.
In this role, you will work with modern technologies such as Microsoft Fabric and Azure to build scalable data platforms, unlock the value of enterprise data, and deliver solutions that have real business impact.
If you enjoy solving complex challenges, collaborating with smart people, and building systems that matter, we would love to hear from you.
Your impact
• Design, build, and maintain robust data solutions that keep critical information accessible for reporting, applications, and advanced analytics.
• Work across high-value business areas including finance, manufacturing, procurement, sales, marketing, and pricing to turn data into actionable insights.
• Build scalable, secure, and future-ready solutions on Azure using Microsoft Fabric, Data Lake, Databricks, and ETL/ELT pipelines.
• Create data models and schemas that support evolving business priorities and help teams make faster, smarter decisions.
• Continuously improve performance, scalability, and cost efficiency across the data platform.
• Troubleshoot data challenges proactively and help maintain a reliable, high-performing environment.
• Partner with cross-functional teams to shape solutions that align technology with real business goals.
• Share knowledge, support junior engineers, and contribute to a collaborative culture built on learning and growth.
• Stay curious and keep up with the latest Azure innovations, tools, and engineering best practices.
• A degree in Computer Science or a related field, or equivalent practical experience.
• At least 3 years of experience in data engineering and the Azure data ecosystem.
• Hands-on experience delivering Microsoft Fabric implementation projects.
• Strong programming skills in Python and SQL.
• Strong knowledge of Microsoft Fabric, PySpark, Azure DWH, Azure Data Factory, Azure Data Lake, Azure SQL Database, and related technologies.
• Experience with CI/CD pipelines and Azure DevOps.
• A solid understanding of Azure networking, security, identity management, and serverless services.
• Experience with scripting and automation using PowerShell, ARM templates, or similar tools.
• A problem-solving mindset and confidence in tackling complex technical challenges.
• Strong communication skills and the ability to collaborate effectively with both technical and business stakeholders.
• English & Polish proficiency at a communicative level (B2 or higher)
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