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About the Role

This is a hands-on senior engineering role with significant influence on the technical direction of the platform. You will work directly with the team lead and a group of analytical engineers who push each other to stay at the frontier of what is possible.

Responsibilities

• Driving the shift from a code writing team to an AI orchestration team by building agentic workflows, designing semantic models, and implementing an AI Gateway.
• Stewarding, maintaining, and improving the AI amplified Databricks based framework.
• Designing data models to integrate diverse global data sources into a coherent structure.
• Building data solutions for domains such as custom MDM, geocoding, client mastering, and profiling.
• Designing and implementing stable, automated ingestion pipelines from diverse sources.
• Owning production troubleshooting and root cause analysis for pipeline failures, performance issues, and data quality problems.
• Reporting on data quality and implementing improvements.

Requirements

• Around 6 or more years of relevant experience.
• A degree in a quantitatively rigorous field such as computer science, data science, econometrics, mathematics, or physics.
• Driven and curious mindset.
• Strong written communication skills for async updates and clear documentation.

Skills

• Systems thinking
• Production troubleshooting and root cause analysis
• Data modeling
• Advanced SQL (window functions, query optimization, MERGE/UPSERT)
• Python and PySpark (reusable functions, JSON, CSV, Parquet)
• Databricks (Declarative Pipelines, DABS, Delta Lake, Spark optimization, job orchestration)
• Azure ecosystem familiarity
• Unity Catalog working understanding
• Advanced Spark optimization (broadcast joins, salting, partitioning strategies)
• Geospatial data processing (H3 indexes, spatial SQL, point in polygon)
• Recursive CTEs and complex SQL patterns
• Infrastructure familiarity (Azure Portal, resource management, CLI)
• Strong Git workflows and code review habits
• Real estate domain experience

Location

• EMEA

Work Type

• Full-time

Experience Level

• Senior

Education Level

• Degree in a quantitatively rigorous field

Benefits

• Autonomy in technical decision-making
• Dedicated learning time
• Team support for skill development
• Growth path opportunities
• Solid technical foundation with established architecture and best practices
• Career development and a promote from within culture
• Flexible and agile work environment
• Comprehensive employee benefits program

About the Company

• Cushman & Wakefield is one of the leading global real estate services firms transforming the way people work, shop and live.
• We are committed to providing work-life balance in an inclusive, rewarding environment.
• We focus on career progression and foster a promotion from within culture, leveraging global opportunities.
• We encourage continuous learning and development opportunities.
• We have a vision of the future where people simply belong.
• We support and celebrate inclusive causes every day.
• We embrace diversity across race, color, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status.
• DEI is part of our DNA as a global community.

Equal Opportunity

• Cushman & Wakefield is an equal opportunity / affirmative action employer.
• All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic.
• Cushman & Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace.
• If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor’s attention once they have made contact.