At LeverX, we have had the privilege of delivering over 950 projects. With 20+ years on 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 for 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 and Microsoft Fabric.
- Proficiency in MS Fabric and Azure Data Factory, including Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Data Warehouse, Power BI Integration, Spark Jobs, Notebooks, and Dataflow Gen 2.
- Programming skills in Azure Databricks or Python, PySpark or Scala, and Spark SQL/TSQL for data transformations.
- Knowledge of Delta Lake, Parquet, and distributed data systems.
- Experience implementing and managing Lakehouse solutions using Databricks and the Azure tech stack.
- Proficiency in working with both relational and non-relational databases: MSSQL, MySQL, PostgreSQL, and CosmosDB.
- Familiarity with DevOps practices and CI/CD pipelines to streamline data engineering workflows.
- English B2+.
Nice-to-have skills:
- Experience with the Snowflake data platform.
- Certifications as a Fabric Data Engineer Associate or Azure Data Engineer Associate.
- Experience with data governance tools and security frameworks.
RESPONSIBILITIES:
- Design and implement data processing systems using Microsoft Fabric and Azure Analytics Services: Azure Data Bricks, Azure Data Factory.
- Develop robust data models that enable efficient storage, retrieval, and analysis.
- Write efficient, scalable code to process, transform, and clean large volumes of structured and unstructured data.
- Build and maintain data pipelines to ingest data from various sources (databases, APIs, streaming platforms).
- Collaborate closely with data scientists, analysts, and other stakeholders to analyze data requirements and provide optimized solutions.
