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Senior Data EngineerJob 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”
