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Technologies-expected : Azure Databricks Unity Catalog Azure Data Factory SQL Server Azure Dev Ops Azure Storage Spark technologies-optional : Azure Key Vault Azure Functions Azure Stream Analytics Git Hub Hadoop Hive Io T Hub Azure Cybersecurity Networking configurations about-project : Are you ready to be part of a cutting-edge biotech project that combines advanced data engineering with real-world impact? As part of our team, you will work on creating scalable data systems and infrastructure that support groundbreaking molecular biology research. Partnering with a global leader in biotechnology, we are delivering advanced data analytics and AI-driven solutions to revolutionize the field. No prior experience in the biotech domain? No problem! We’ll ensure you quickly get up to speed with the industry-specific knowledge you’ll need to succeed. This is a hybrid role based in Wrocław, offering a long-term project with a focus on stability and growth. Interested? Apply now, and let’s talk about how you can be part of this exciting journey! responsibilities : Building and optimizing advanced analytics data pipelines using Python or Scala, ensuring efficient data ingestion and processing Implementing scalable solutions with big data technologies such as Hadoop, Hive, or Spark to manage and analyze large datasets Designing secure, high-performance data architectures on the Microsoft Azure platform, utilizing services like Azure Databricks, Azure Data Factory, Azure Storage, and Azure Stream Analytics to build efficient data workflows Applying best practices in data modeling, security, and provisioning across all layers of the data architecture, including Azure Key Vault, SQL Server, and Azure Functions for secure and optimized data handling Collaborating with data scientists, engineers, and domain experts to develop proof-of-concept solutions and innovative AI-driven applications, integrating tools like Azure Dev Ops and Git Hub for efficient project management and version control requirements-expected : Senior-level experience in data engineering, with expertise in building advanced analytics pipelines Strong coding skills in Python or Scala, and hands-on experience with SQL Familiarity with big data technologies such as Hadoop, Hive, or Spark Solid understanding of data modeling, security best practices, and provisioning concepts Hands-on experience with a range of Azure technologies, including but not limited to Azure Databricks & Unity Catalog, Azure Data Factory, Io T Hub, Azure Dev Ops, Azure Key Vault, Azure Functions, SQL Server, and Azure Cybersecurity and Networking configurations Proficiency in English at a B2 level or higher Residing in Poland required