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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer (Mid-level) - **Company:** ZHA - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Microsoft Online Services, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), SQL Databases, Azure Data Factory, Apache Spark, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Software Version Control, Automation Anywhere, Databricks - **Published:** June 21, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=a46564c000b0b58b ## About the Role Do you have experience in Unity?, Do you have a Bachelor's degree?, * You are passionate about data and analytics, with a drive to solve real business problems with data. * You are proactive, detail-oriented and committed to continuous improvement and learning. * You enjoy solving complex business challenges with data and are comfortable with ambiguity and change. * You value clear documentation, knowledge sharing and collaboration. You can communicate complex technical concepts in a way that is accessible and relevant to business stakeholders., * Bachelor's Degree in Computer Science, Data Engineering, Information Systems or related STEM field. * Minimum 2+ years' experience in analytics engineering, data engineering or data platform development. * Experience with Azure, Microsoft 365, Power Platform and Microsoft Graph API. * Exposure to AI/ML workflows and understanding of data requirements for model training and deployment. * Familiarity with Architectural, Design or Creative industries is a plus. ## Description ZHA is evolving its data capabilities to support world-leading design, project delivery and decision-making. We are seeking an Analytics Engineer to help advance the practice's data ecosystem by transforming raw information into well-modelled, actionable datasets that empower our teams to explore, analyse and innovate. Working at the intersection of data engineering and analytics, you will develop the pipelines, transformations and models that underpin our modern lakehouse platform; enabling advanced reporting, data visualisation, digital tools and emerging AI workflows. You will collaborate with teams across the business, helping to make their data more accessible, reliable and impactful. This role is an opportunity to help define how a leading practice leverages data: creating clarity, consistency and confidence in the information that drives both our creative and operational excellence., * Develop and maintain scalable ELT/ETL pipelines in Azure Data Factory and Databricks, supporting both existing and new data sources. * Build, refine and optimise transformation logic using Databricks notebooks, Python, SQL and Spark. * Model data across Bronze, Silver and Gold layers to ensure structure, consistency and clarity. * Collaborate with colleagues across architecture, finance, operations, and technology to understand data needs and translate them into well-designed models and solutions. * Ensure data quality through validation, testing and clear documentation. * Implement data governance controls and access policies with Unity Catalog. * Support business-critical system transformations by managing data migrations and ensuring data quality and continuity. * Champion best practices in data engineering, analytics, version control and development workflows. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)