Analytics Engineer: Scale AI-Ready Data on Databricks

Cushman & Wakefield; City Of London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Cushman & Wakefield is seeking an Analytics Engineer to join our EMEA/APAC data team. The role focuses on building semantic models, datasets, and scalable data assets on Databricks to support agentic AI initiatives across regions.

You will bridge Data Engineering and business stakeholders, craft governance-aligned models, and contribute to AI-ready pipelines while delivering insights for executive decision making.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, Statistics, Econometrics, or related quantitative discipline.
• Minimum 3 years of experience in data engineering, analytics engineering, or BI development.
• Strong hands-on experience with Databricks or equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake).
• Proficiency in SQL and building/optimising semantic or data models at scale.
• Solid understanding of data modelling principles - star schema, dimensional modelling, DAX.
• Experience with Power BI and Microsoft Power Platform.
• Familiarity with data pipeline concepts, ETL/ELT processes.
• Experience supporting AI/agentic data assets and governance.

Responsibilities

• Design, build, and maintain semantic models and curated datasets on the Databricks platform, ensuring they are performant, reusable, and aligned with governance standards.
• Act as the technical bridge between central Data Engineering and transformation/business stakeholders, translating ambiguous business questions into structured data models.
• Build and maintain automation/AI-readiness scoring frameworks and metrics for executive business cases.
• Produce the quantitative backbone of transformation business cases: baselines, savings/benefits, scenarios, and before/after comparisons.
• Standardise datasets and business logic so transformation workstreams can reuse a common foundation.
• Collaborate with the data engineering team on upstream data assets to meet scalability and transformation needs.
• Contribute to data assets and pipelines that support AI, ML, and agentic workflows.
• Monitor and optimise the performance of data models and semantic layers; resolve data quality issues.
• Support platform adoption through documentation, standards, and knowledge transfer.
• Participate in peer reviews of data models before release into decks and workbooks.

Skills

Databricks

SQL

Power BI

Power Platform

Data modelling

DAX

ETL/ELT

Azure Synapse

Snowflake

Data governance

Agile/hybrid

English

Education

Bachelor’s or Master’s degree in CS/Data Eng/Quantitative field

Tools

Databricks

Azure Synapse

Snowflake

Job description

Cushman & Wakefield is seeking an Analytics Engineer to join our EMEA/APAC data team. The role focuses on building semantic models, datasets, and scalable data assets on Databricks to support agentic AI initiatives across regions.

You will bridge Data Engineering and business stakeholders, craft governance-aligned models, and contribute to AI-ready pipelines while delivering insights for executive decision making.