Data Engineer with Azure

We’re looking for an experienced Data Engineer skilled in Azure and data pipeline optimization to design, build, and streamline scalable data pipelines and storage solutions that support analytics and machine learning.

✔️ Key responsibilities:

• Design, deploy, and maintain data solutions on Azure (Data Factory, Databricks, SQL Database, Synapse).
• Manage data efficiently with Databricks (Delta Tables), ADLS, SQL Server, and Netezza.
• Build robust data pipelines in Azure Data Factory with a strong focus on governance and compliance.
• Utilize Python and PySpark to create efficient and scalable data transformations.
• Enable data insights through Power BI and Qlik dashboards, providing clear visualizations to stakeholders.
• Apply best practices in DevOps, including version control and CI/CD, with Git and Azure DevOps.

✔️ Required skills and experience:

• Azure expertise: Minimum of 3 years (for mid-level) or 5 years (for senior) in data engineering, with proven expertise in Azure.
• Programming skills: Proficiency in Python and PySpark for data transformations.
• Agile mindset: Experience in Agile methodologies and flexible team structures.
• Version control: Practical knowledge of Git and experience with Azure DevOps.

✔️ What we offer:

• Participation in dynamic and impactful projects.
• A collaborative, supportive team culture.
• A flexible work environment tailored to modern working needs.
• A comprehensive benefits package that fits your preferences.

Interested? Click "Apply" for the chance to learn more!