At LeverX, we have had the privilege of working on 1,500+ SAP projects, including some with Fortune 200 companies. 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 Middle Data Engineer to join us. Let’s see if we are a good fit for each other!
responsibilities :
Design, build, and maintain batch / streaming pipelines (ELT / ETL) from diverse sources into DWH / Lakehouse.
Model data for analytics (star / snowflake, slowly changing dimensions, semantic / metrics layers).
Write production-grade SQL and Python; optimize queries, file layouts, and partitioning.
Implement orchestration, monitoring, testing, and CI / CD for data workflows.
Ensure data quality (validation, reconciliation, observability) and document lineage.
Collaborate with BI / analytics to deliver trusted, performant datasets and dashboards.
requirements-expected :
3–5 years of experience in data engineering.
Strong SQL and solid Python for data processing.
Hands-on experience with at least one cloud and a modern warehouse / lakehouse : Snowflake, Redshift, Databricks, or Apache Spark / Iceberg / Delta.
Experience delivering on Data Warehouse or Lakehouse projects : star / snowflake modeling, ELT / ETL concepts.
Familiarity with orchestration (Airflow, Prefect, or similar) and containerization fundamentals (Docker).
Understanding of data modeling, performance tuning, cost-aware architecture, and security / RBAC.
English B1+.
offered :
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.