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About the Role

This is a learning role for a Junior Analytics Engineer to join the Analytics Engineering pillar of the EMEA Business Intelligence team. You will help build and maintain the data foundation behind BI delivery across EMEA, supporting senior Analytics Engineers on semantic models, curated datasets, and reusable data assets on our central data platform. You will work closely with BI and Data Science & Engineering teams to translate business needs into well-structured data, and lay the groundwork for AI and agentic use cases.

Responsibilities

Contribute to semantic models and curated datasets under the guidance of senior engineers.
Help standardize datasets, business logic, and data models for consistency and reusability across BI teams and markets.
Assist with onboarding market-specific datasets onto the central platform by understanding sources and requirements with local stakeholders.
Support BI delivery by ensuring data assets meet the needs of BI products from the BI Development team, in collaboration with senior colleagues.
Develop an understanding of data context and translate business needs into data structures and logic.
Contribute to data quality checks, basic performance monitoring, and pre-release testing.
Support early-stage work preparing clean, well-structured datasets for future AI and agentic applications.
Maintain clear documentation, participate in peer reviews, and adhere to team standards for modeling, naming, and governance.
Actively participate in training, bootcamps, and mentoring.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical field.
Some practical experience in data engineering, analytics engineering, or BI through a job, internship, or academic project.
Foundational SQL with a willingness to improve proficiency in optimizing data models.
Basic familiarity with data modeling concepts like star schema or dimensional modeling.
Exposure to Databricks, Microsoft Fabric, Azure Synapse, or Snowflake.
Awareness of Power BI or other BI tools.
Curiosity about AI, machine learning, and agentic technologies.
Interest in business needs and developing commercial awareness.
Strong attention to detail and a methodical approach to building, testing, and documenting.
Good communication skills, including asking clear questions and documenting work clearly.
A collaborative, proactive mindset and eagerness to learn.

Skills

SQL
Data Modeling (Star Schema, Dimensional Modeling)
Databricks
Microsoft Fabric
Azure Synapse
Snowflake
Power BI
AI
Machine Learning
Agentic Technologies
Communication
Attention to Detail
Methodical Approach
Collaboration
Proactiveness
Eagerness to Learn

Location

London

Work Type

Full-time

Experience Level

Junior
Entry-level

Education Level

Bachelor's Degree
Master's Degree

About the Company

Cushman & Wakefield is a global real estate services firm.

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.