Senior Data Engineer

CW Site - POL - Warszawa - Rondo Daszyńskiego 2B, Poland

Cushman & Wakefield

A global commercial real estate services leader, we will never settle for the world that’s been built, but relentlessly drive it forward..

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Job Title

Senior Data Engineer

Job Description Summary

Join our team as a Data Engineer and play a key role in designing and delivering reliable, efficient, and scalable data solutions. We're looking for someone with strong technical expertise, a hands-on mindset, and a passion for turning data into business value.

Job Description

As a Data Engineer, you will:

  • Analyze, organize, and model complex datasets in preparation for data lineage and ingestion

  • Design robust ETL solutions tailored to business needs and current technology trends

  • Build, implement, and optimize data pipelines for transactional, geospatial, and client data

  • Monitor and report on data quality, proposing improvements where needed

  • Work closely with stakeholders across the business to deliver custom cloud data solutions
     

Your Top 3 Responsibilities:

  • Translate business requirements into effective ETL designs

  • Build and maintain stable, automated data ingestion pipelines

  • Create data marts to ensure accessible, well-structured data for various use cases
     

Requirements:

  • Minimum 4 years of experience in data engineering or data analysis

  • Academic-level education and relevant work experience

  • Excellent command of English, both written and spoken

  • Proficiency in SQL, Python, and PySpark

  • Hands-on experience with Azure, Microsoft Fabric, and Databricks

  • Ability to work effectively in cross-functional teams

  • Familiarity with Data Management practices, including Data

  • Governance and Data Observability

  • Experience with big geospatial data (preferred)







INCO: “Cushman & Wakefield”
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Azure Data analysis Databricks Data governance Data management Data pipelines Data quality Engineering ETL Pipelines PySpark Python SQL

Region: Europe
Country: Poland

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