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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