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Senior Data Engineer Amsterdam Cushman & Wakefield

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Gevraagd

  • Fulltime
  • Senior
  • Engels (taal)

Aanbod

  • Vast contract
 

Vacature in het kort

Amsterdam
Join the team as a Senior Data Engineer and drive the transformation of data into actionable business insights. This role involves designing and implementing scalable data solutions, and optimizing data pipelines for diverse datasets. You'll collaborate with stakeholders to deliver custom cloud data solutions. Enjoy the opportunity to work with cutting-edge technology and contribute to innovative data management practices in a dynamic environment. Read on to discover how this opportunity can transform your career.
 

Over het bedrijf

Cushman & Wakefield
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Volledige vacaturetekst

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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