Analytics Engineer: AI-Ready Databricks Lakehouse

C&W Services (S); Greater London; Presencial; GBP 70.000 - 100.000; Jornada completa

Descripción de la vacante

C&W Services (S) is seeking an Analytics Engineer to advance our lakehouse with Databricks across EMEA & APAC. You will turn commercial questions into semantic models and curated datasets, collaborating with data engineers and business stakeholders to scale assets and enable AI-led delivery.

The role emphasizes building scalable data architectures, governance-aligned models, and actionable insights for executive decision-making. A strong SQL and BI background is essential.

Formación

• Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, Econometrics, or a related quantitative discipline.
• Minimum 3 years of experience in a data engineering, analytics engineering, or BI development role.
• Strong hands-on experience with Databricks or an equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake).
• Proficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic.
• Solid understanding of data modelling principles - star schema, dimensional modelling, DAX.
• Experience with Power BI and the Microsoft Power Platform, including building on top of central/curated data models.
• Familiarity with data pipeline concepts, transformation logic, and ETL/ELT processes.
• Working understanding of how data

Responsabilidades

• 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 the central Data Engineering team and transformation/business stakeholders, translating ambiguous business questions into structured data models.
• Build and maintain automation/AI-readiness scoring frameworks - turning taxonomy and process data into structured, defensible metrics used in executive business cases.
• Produce the quantitative backbone of transformation business cases: current-state baselines, savings and benefit tracking, scenario/what-if models, and before/after comparisons.
• Standardise datasets and business logic so that transformation workstreams build consistently on a shared foundation rather than one-off extracts.
• Collaborate with the data engineering team on the design of upstream data assets, ensuring they meet the requirements of scalable, transformation-facing analytics.
• Contribute to data assets and pipelines that are structured to support AI, machine learning, and agentic workflows - increasingly the default mode of delivery rather than a side project.
• Monitor and optimise the performance of data models and semantic layers, proactively identifying and resolving data quality issues before they reach executive reporting.
• Support platform adoption through documentation, standards, and knowledge transfer, contributing to best practices for data modelling, naming conventions, and dataset architecture.
• Participate in peer reviews of data models to ensure consistency and quality before release into business-critical decks and workbooks.

Conocimientos

SQL proficiency

Data modelling

Problem solving

Educación

Bachelor's or Master's degree in Computer Science/related quantitative discipline

Herramientas

Databricks

Azure Synapse

Snowflake

Power BI

Microsoft Power Platform

DAX

Descripción del empleo

C&W Services (S) is seeking an Analytics Engineer to advance our lakehouse with Databricks across EMEA & APAC. You will turn commercial questions into semantic models and curated datasets, collaborating with data engineers and business stakeholders to scale assets and enable AI-led delivery.

The role emphasizes building scalable data architectures, governance-aligned models, and actionable insights for executive decision-making. A strong SQL and BI background is essential.