At LeverX, we have had the privilege of delivering over 950 projects for various clients. 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:
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- Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc.
- Projects for every taste: Startup products, enterprise solutions, research & development initiatives, 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 with 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:
- 5+ years of experience as a Data Engineer with strong expertise in Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse, Microsoft Fabric, and Azure Cosmos DB.
- Advanced SQL skills, including complex query development, optimization, and troubleshooting. Strong knowledge of indexing, partitioning, and query execution plans to ensure scalability and performance.
- Proven expertise in database modeling, schema design, and normalization/denormalization strategies.
- Ability to design and optimize data architectures to support both transactional and analytical workloads.
- Proficiency in at least one programming language such as Python, C#, or Scala.
- Strong background in cloud-based data storage and processing (e.g., Azure Data Lake, Databricks, or equivalent) and data warehouse platforms (e.g., Snowflake)
- English B2+.
nice-to-have skills:
- Familiarity with Elasticsearch.
- Relevant certifications such as Fabric Data Engineer Associate or Azure Data Engineer Associate.
responsibilities:
- Design, develop, and maintain efficient and scalable data architectures and workflows.
- Build and optimize SQL-based solutions for data transformation, extraction, and loading (ETL) processes.
- Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.
- Manage and optimize data storage platforms, including databases, data lakes, and data warehouses.
- Troubleshoot and resolve data-related issues, ensuring accuracy, integrity, and performance across all systems.
