Lead - Data Engineering & Analytics

Job Title

Lead - Data Engineering & Analytics

Job Description Summary

Cushman & Wakefield is seeking a highly skilled Lead – Data Engineering & Analytics to lead the implementation, and governance of scalable, secure, and high-performing data solutions across the enterprise. Reporting to the Director of Data Engineering & Analytics, this hands-on leadership role focuses on modernizing the data platform, guiding the adoption of emerging technologies, and ensuring alignment with organizational goals and compliance standards.
As part of Cushman & Wakefield's mission to deliver exceptional value through real estate services, this role plays a key part in enabling enterprise-wide data strategy, analytics, and AI/ML capabilities—unlocking insights that drive performance, optimize operations, and enhance client value.

Job Description

About the Role:

• Lead the execution of modern, cloud-native data engineering, AI/ML and analytics platforms across the full data lifecycle, including ingestion, storage, transformation, and consumption.

• Develop scalable, high-performance solutions using Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, Power BI, Tableau, Python, and other relevant technologies.
• Lead a team of data, BI and AI/ML engineers, fostering a culture of engineering excellence, knowledge sharing, and continuous improvement.
• Work closely with engineering and product leadership to ensure data and analytics solutions are delivered on time and meet expected outcomes
• Implement standards for data quality, lineage, and metadata in coordination with data governance and MDM teams using tools such as Profisee and Azure Purview.
• Conduct architectural reviews, performance tuning, and system reliability initiatives to support scalable enterprise data platforms.
• Maintain reusable development patterns and coding standards in Python, PySpark, and SQL.
• Lead the integration of AI/ML solutions through architectural planning, data readiness, and scalable deployment pipelines.
• Develop POCs and prototypes to implement emerging technologies in cloud data platforms, streaming analytics, and intelligent automation
• Onboard new team members provide necessary training, and ensure they are familiar with the tools, technologies, and process.
• Implement DevOps and DataOps best practices, including CI/CD pipeline development, Git-based workflows, and automated testing.
• Create detailed technical documentation and promote collaboration across cross-functional data and analytics teams

About You:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 6+ years of progressive experience in data engineering and analytics, including 4+ years in technical leadership, team management and/or architecture-focused roles.
• Proven experience designing and deploying enterprise-grade cloud data platforms using Azure, AWS, or Google Cloud.
• Deep hands-on expertise with Azure Synapse Analytics, Azure Data Factory, Databricks, Spark/PySpark, and SQL-based data processing.
• Strong knowledge of modern data architecture patterns such as data lakehouse, data fabric, microservices, and event-driven pipelines.
• Experience integrating data governance and MDM solutions, particularly with Profisee, Azure Purview, or similar platforms.
• Working knowledge of DevOps practices and Infrastructure-as-Code principles including CI/CD pipelines, Docker/Kubernetes, and automation frameworks.
• Familiarity with emerging data architecture models such as data mesh and unified data platforms.
• Industry experience in commercial real estate, capital projects, or other data-rich operational environments.
• Experience with Database Lifecycle Management (DLM) tools and collaborative Git-based development practices.
• Proficiency in modern programming languages such as Python or Scala, used in scalable data engineering.
• Understanding of the ML/AI model lifecycle including data preparation, model training, and production deployment.
• Relevant certifications such as Azure Solutions Architect, AWS Data Analytics, TOGAF, or similar enterprise architecture credentials.

Why join Cushman & Wakefield?

As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;

• Being part of a growing global company;
• Career development and a promote from within culture;
• An organisation committed to Diversity and Inclusion

We're committed to providing work-life balance for our people in an inclusive, rewarding environment.
We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.

We have a vision of the future, where people simply belong.

 

That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status.

We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.

INCO: "Cushman & Wakefield"

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