At LeverX, we have had the privilege of delivering over 950 projects. With 20+ years in the market, our team of 1,800 is strong, reliable, and always evolving: learning, growing, and striving for excellence.
We are looking for an Azure Data Engineer to join us. Let’s see if we are a good fit for each other!

what We offer:

• Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
• Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies.
• Global clients based in Europe and the US, including Fortune 500 companies.
• Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one.
• Healthy work atmosphere: On average, our employees stay in the company for 4+ years.
• Market-based compensation and regular performance reviews.
• Internal expert communities and courses.
• Perks to support your growth and well-being. 

REQUIREd skills:

• 4+ years of experience as a Data Engineer focusing on Azure services: Azure Data Factory, Azure SQL Database, Azure Synapse, or similar technologies.
• Strong SQL skills, including complex query development, optimization, and troubleshooting.
• Proficiency in at least one programming language, such as Python, C#, or Scala.
• Experience with DevOps practices, including version control and CI/CD pipelines.
• Familiarity with cloud-based data storage and processing (Azure Data Lake, Azure Databricks, etc.).
• English B2+.

Nice-to-have skills:

• Experience with dbt, Snowflake data platform, Microsoft Fabric, CosmosDB, or ElasticSearch.
• Certifications as Fabric Data Engineer Associate or Azure Data Engineer Associate.

RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines and workflows.
• Develop SQL-based solutions for data transformation, extraction, and loading (ETL) processes.
• Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and provide optimized solutions.
• Manage and optimize data storage solutions, including data lakes and warehouses.
• Troubleshoot data-related issues and ensure the accuracy and integrity of data across all systems.