At LeverX, we have had the privilege of delivering over 1,500 projects for various clients. With 20+ years in the market, our team of 2,200+ is strong, reliable, and always evolving: learning, growing, and striving for excellence.
We are looking for a Data Analytics 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:
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5+ years of hands-on experience in Data Engineering.
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Strong expertise in Snowflake, including architecture, advanced SQL, Snowpark (Python), and data governance (RBAC, masking policies).
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Solid experience with dbt (models, tests, snapshots, incremental strategies, CI/CD).
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Experience with data orchestration tools (Airflow, Dagster, Prefect) or Snowflake Tasks and Streams.
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Proven ability to design and maintain scalable Data Warehouse or Data Lakehouse architectures.
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Experience optimizing costs by managing Snowflake credits, warehouse configurations, and storage usage.
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Strong Python skills for data transformation, automation, and scripting.
- English B2+.
nice-to-have skills:
- SnowPro Core or SnowPro Advanced Architect certifications.
- Experience building production-grade dashboards in BI tools (Tableau, Looker, Superset, Metabase).
- Experience with Cloud Platforms (AWS/Azure/GCP) regarding IAM, S3/Blob Storage networking.
responsibilities:
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Design and build scalable data pipelines in Snowflake using SQL, Snowpark (Python), and Stored Procedures.
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Own Snowflake security and governance, including RBAC, dynamic data masking, row access policies, and object tagging.
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Develop and optimize data ingestion using Snowpipe, COPY INTO, and external stages.
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Optimize performance through virtual warehouse sizing, query profiling, clustering, and search optimization.
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Implement data transformations and semantic layers using dbt, applying medallion or Data Vault modeling patterns.
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Build reliable orchestration and CI/CD for data pipelines using Snowflake Tasks & Streams, external orchestrators, and infrastructure as code.
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Collaborate with and mentor engineers, partner with analytics and ML teams, and drive continuous improvements across the data platform.
