Senior Data Engineer

Cushman & Wakefield; London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading global real estate services firm in London is seeking a Senior Data Engineer to design and deliver scalable data solutions. The successful candidate will analyze complex datasets, build ETL solutions, and work closely with stakeholders to provide custom cloud data solutions. Ideal candidates have at least 4 years of experience in data engineering and proficiency in SQL, Python, and Azure. This role offers a chance to make a significant impact within the organization.

Qualifications

• Minimum 4 years of experience in data engineering or data analysis.
• Excellent command of English, both written and spoken.
• Ability to work effectively in cross-functional teams.
• Familiarity with Data Governance and Data Observability.

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.

Skills

SQL

Python

PySpark

Data Management

Cross-functional teamwork

Education

Academic-level education and relevant work experience

Tools

Azure

Microsoft Fabric

Databricks

Job description

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"