Data Engineer

4 dni temu

Kraków, Polska INEXTO Pełny etat

INEXTO is a leading provider of software and services for Authentication, Secure Serialization, Track & Trace and Production Volume Verification. Its technology is already securing over 100 billion products annually in more than 1’700 manufacturing lines in 100 countries.

We provide solutions to help public and private organizations in:

  • Regulatory compliance & tax verification
  • Brand protection (anti-counterfeiting, anti-diversion)
  • Production & supply chain optimization
  • Customer engagement & circular economy

 

Are you passionate about cutting-edge technology and innovative solutions? INEXTO, a global leader in Authentication, Secure Serialization, Track & Trace, and Production Volume Verification, is looking for a Data Engineer to join our team. Our technology secures over 100 billion products annually, and we're just getting started

At INEXTO, you'll be at the forefront of an exciting, fast-moving world, where your expertise will contribute to the development of groundbreaking solutions. As a Data Engineer, you'll collaborate with a team of worldwide talented professionals, bringing your creativity and technical prowess to the table to build secure, user-friendly applications that make a real difference.

If you're ready to take your career to the next level and be part of a company that's transforming global security standards, we want to hear from you Join us at INEXTO and help us continue to lead the way in secure technology solutions.

Responsibilities:

  • Design and manage data pipelines and workflows using Azure Data Lake, Delta Lake, Synapse, and Spark
  • Build and optimize modern data platforms with tools like Azure Fabric and Cosmos DB
  • Prepare, process, and transform large datasets to enable advanced analytics and machine learning outcomes
  • Create dashboards and data visualizations with Power BI, supporting AI-driven decision-making
  • Implement data governance frameworks to ensure security, compliance, and high data quality

Qualifications:

  • Proficiency in Azure data technologies: Azure Data Lake, Delta Lake, Fabric, Synapse Analytics, and Azure AI/ML
  • Hands-on experience with big data frameworks like Apache Spark and databases such as Cosmos DB
  • Strong skills in ETL processes, data transformation, and pipeline orchestration
  • Proficiency in programming and scripting languages such as Python, C# (including ML libraries), SQL, and Spark.
  • Hands-on experience with Power BI for building dashboards and visualizations

Preferred qualifications:

  • Familiarity with advanced analytics and statistical modeling
  • Experience with tools like Pandas, NumPy, and Scikit-learn
  • Knowledge of Docker and Kubernetes

Your Profile:

  • At least 5 years of experience in data engineering with exposure to AI/ML workflows
  • Proven ability to design and deliver scalable, cloud-based data solutions
  • A proactive and resourceful mindset with strong problem-solving and collaboration skills
  • Fluency in English

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