Senior Data Engineer EMEA
17 hours ago
Job Description Summary
Utilizing our state-of-the-art intelligent data platform, you will craft a specialized cloud solution designed for the real estate domain. This platform empowers every individual within Cushman & Wakefield to adeptly tackle location-based challenges, thereby guaranteeing improved client service and enabling well-informed, future-proof decision-making. Embrace the opportunity to leverage the expansive potential of our intelligent data platform and commence making a substantial impact in the real estate industry today
About the Role:
- Analyze, organize, and model complex datasets in preparation for data lineage and data ingestion;
- Design stable ETL solutions for datasets, matching business needs and technology trends;
- Build, implement, and optimize pipelines handling transactional, geospatial, and client data;
- Report on data quality and advise on potential improvements;
- Engage with diverse business stakeholders to develop tailored cloud solutions that meet their specific needs and objectives;
Top 3 Responsibilities:
- Translate business requirements into solid ETL solutions;
- Establish stable automated data ingestion pipelines;
- Create data marts to enable data availability for various use cases;
About You:
- You have a minimum of 4 years of experience with data engineering or data analysis;
- You have academic education and work level;
- You speak and write excellent English;
- You have knowledge of SQL, Python, and PySpark;
- You have experience with Azure Microsoft Fabric and Databricks;
- Ability to collaborate effectively in a cross-functional team environment;
- Engaged in Data Management tasks, including ensuring Data Governance and maintaining Data Observability;
- Experience working with big geospatial data (prefered);
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