Senior Snowflake Data Engineer - Pipelines & Governance

LeverX, Inc.; Polska; Presencial; PLN 220.000 - 360.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional development support

Performance reviews

Career growth opportunities

Health and wellness benefits

Descripción de la vacante

LeverX, Inc. is seeking a Senior Data Engineer (Snowflake) to design and scale data pipelines for diverse global clients. You will own Snowflake architecture, implement governance, and work with dbt and Python to deliver reliable data products.

Join a 20+ year, 2,200+ team with ongoing growth, performance reviews, and opportunities to work across healthcare, manufacturing, fintech, and more. You will collaborate with analytics and ML teams to continuously improve the data platform.

Formación

• 5+ years of hands-on experience in Data Engineering.
• Strong expertise in Snowflake, including architecture, advanced SQL, Snowpark (Python), and data governance (RBAC, masking policies).
• Solid experience with dbt (models, tests, snapshots, incremental strategies, CI/CD).
• Experience with data orchestration tools (Airflow, Dagster, Prefect) or Snowflake Tasks and Streams.
• Proven ability to design and maintain scalable Data Warehouse or Data Lakehouse architectures.
• Experience optimizing costs by managing Snowflake credits, warehouse configurations, and storage usage.
• Strong Python skills for data transformation, automation, and scripting.

Responsabilidades

• Design and build scalable data pipelines in Snowflake using SQL, Snowpark (Python), and Stored Procedures.
• Own Snowflake security and governance, including RBAC, dynamic data masking, row access policies, and object tagging.
• Develop and optimize data ingestion using Snowpipe, COPY INTO, and external stages.
• Optimize performance through virtual warehouse sizing, query profiling, clustering, and search optimization.
• Implement data transformations and semantic layers using dbt, applying medallion or Data Vault modeling patterns.
• Build reliable orchestration and CI/CD for data pipelines using Snowflake Tasks & Streams, external orchestrators, and infrastructure as code.
• Collaborate with and mentor engineers, partner with analytics and ML teams, and drive continuous improvements across the data platform.

Conocimientos

Snowflake

SQL

Snowpark

dbt

Airflow

Dagster

Prefect

Python

RBAC

Herramientas

Snowflake Tasks

Snowpipe

Descripción del empleo

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 Senior Data Engineer (Snowflake) 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 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 hands-on experience in Data Engineering.

Strong expertise in Snowflake , including architecture, advanced SQL, Snowpark (Python), and data governance (RBAC, masking policies).

Solid experience with dbt (models, tests, snapshots, incremental strategies, CI/CD).

Experience with data orchestration tools (Airflow, Dagster, Prefect) or Snowflake Tasks and Streams.

Proven ability to design and maintain scalable Data Warehouse or Data Lakehouse architectures.

Experience optimizing costs by managing Snowflake credits, warehouse configurations, and storage usage.

Strong Python skills for data transformation, automation, and scripting.

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:

Design and build scalable data pipelines in Snowflake using SQL, Snowpark (Python), and Stored Procedures.

Own Snowflake security and governance, including RBAC, dynamic data masking, row access policies, and object tagging.

Develop and optimize data ingestion using Snowpipe, COPY INTO, and external stages.

Optimize performance through virtual warehouse sizing, query profiling, clustering, and search optimization.

Implement data transformations and semantic layers using dbt, applying medallion or Data Vault modeling patterns.

Build reliable orchestration and CI/CD for data pipelines using Snowflake Tasks & Streams, external orchestrators, and infrastructure as code.

Collaborate with and mentor engineers, partner with analytics and ML teams, and drive continuous improvements across the data platform.

Drop us your CV and a few lines about yourself. Typos won’t break it, but good vibes help.

2

Shine at the interview

Be ready, be curious, and be yourself. We’ll talk about your skills, values, and what makes us a match.

3

We don’t leave you wondering — we’ll be in touch if it’s a match.

What is LeverX all about?

We are proud to be an SAP Gold Partner — a global company with 20 years of experience and a track record of successful international projects.
But we’re also all about our people.

Our Offices

Our offices are more than standing desks and fast Wi-Fi — they’re where colleagues become friends, and after-hours mean board games or drinks.

Discover employee stories, interview tips, and expert guidancein our blog.

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