Junior Analytics Engineer - Build Data Foundations for BI

Cushman & Wakefield

City Of London

Hybrid

GBP 32,000 - 46,000

Full time

2 days ago

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Job summary

Cushman & Wakefield in the United Kingdom is seeking a Junior Analytics Engineer to support the Analytics Engineering pillar, helping build semantic models and curated datasets on our central data platform. You will work with BI, Data Science & Engineering teams to lay groundwork for data assets that support traditional BI and emerging AI use cases.

You will gain hands-on experience with enterprise data modelling, platform governance, and data quality checks while growing toward more senior

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related field.
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high‑performing team.
Good communication skills, with the ability to ask clear questions and document work clearly.
Knowledge of the real estate sector is a plus but not required.
Fluent in English; additional European languages are an advantage.

Responsibilities

Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, under guidance of senior Analytics Engineers.
Support standardisation of datasets, business logic, and data models for reusability and consistency across BI teams and markets.
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.
Work closely with senior team members to ensure data assets meet BI product requirements.
Develop an understanding of business context behind data requests and translate into data structures and logic.
Collaborate with Data Science & Engineering colleagues to understand data asset usage across teams.
Contribute to data quality checks and basic performance monitoring of data models and semantic layers.
Support early-stage work on data foundations for AI and agentic use cases, prepping clean datasets for future AI applications.
Maintain clear documentation of data models, datasets, and platform assets.
Participate in peer reviews of data models and platform assets, incorporating feedback to maintain quality.