Middle Data Engineer Jobs

LeverX

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Job Description:

At LeverX, we have had the privilege of delivering over 950 projects. 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!

Job Responsibility:

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:

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+

Nice to have:

Vendor certifications: Snowflake, Databricks, or AWS
BI exposure: Tableau, Metabase, Looker/Looker Studio, etc.
dbt (models, tests, macros, exposures) for ELT and documentation
Git (branching strategies, PR reviews, basic CI) for collaborative delivery
Experience with streaming (Kafka/Kinesis), data contracts/metric layers, and data observability tools

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

Additional Information:

Job Posted:
December 09, 2025

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Middle Data Engineer