Cushman & Wakefield - Manager - Data Engineering & Analytics

Job Title :

Manager - Data Engineering & Analytics

Job Description Summary :

Cushman & Wakefield is seeking a highly skilled Manager Data Engineering & Analytics to lead the design, 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 & Wakefields 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 capabilitiesunlocking insights that drive performance, optimize operations, and enhance client value.

Job Description : About the Role :

• Lead the design and 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 data solutions using Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, Power BI, Tableau, Python, and other relevant technologies.
• Manage and mentor a team of data engineers, fostering a culture of engineering excellence, knowledge sharing, and continuous improvement.
• Collaborate with engineering, product, and business leadership to ensure alignment of data solutions with enterprise goals, technology roadmaps, and innovation priorities.
• Define and enforce standards for data quality, lineage, and metadata in coordination with data governance and MDM teams using tools such as Profisee and Azure Purview.
• Oversee architectural reviews, performance tuning, and system reliability initiatives to support scalable enterprise data platforms.
• Establish and maintain reusable development patterns and coding standards in Python, PySpark, and SQL.
• Guide the integration of AI / ML solutions through architectural planning, data readiness, and scalable deployment pipelines.
• Evaluate and implement emerging technologies in cloud data platforms, streaming analytics, and intelligent automation.
• Champion DevOps and DataOps best practices, including CI / CD pipeline development, Git-based workflows, and automated testing.
• Ensure comprehensive technical documentation and foster collaboration across cross-functional data and analytics teams.

About You :

Why join Cushman & Wakefield ?

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.

(ref : hirist.tech)