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