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My client is seeking a skilled and experienced Data Warehouse Engineer to maintain and optimise data warehouse infrastructure, develop robust ETL processes, and ensure data quality across the organisation. You will collaborate with business and technology stakeholders to design scalable, automated data pipelines and support AI/ML model infrastructure. This is an exciting opportunity to work in a purpose-led sector, leveraging advanced technologies to create meaningful impact.
Key Responsibilities- Maintain and optimise the organisation's data warehouse infrastructure.
- Design, implement, and document ETL/ELT procedures for data intake, adhering to industry standards.
- Verify data quality and ensure it meets business requirements.
- Monitor, tune, and analyse database performance to ensure reliability and scalability.
- Collaborate with stakeholders to design data marts, meta data, and models in partnership with Power BI Engineers.
- Maintain all data warehouse architecture codes in AzureDevOps.
- Automate tasks and deploy production-standard code with unit testing, continuous integration, and versioning.
- Optimise and configure systems to improve reliability, performance, and functionality.
- Support and improve AI/ML model infrastructure to meet evolving business needs.
- Troubleshoot data-related issues and manage system access for stakeholders.
- Deliver high-quality solutions within set timelines and budgets, ensuring customer satisfaction.
- Bachelor's degree in an analytic field such as information technology, science, or engineering.
- 5+ years of experience in data warehouse architecture development and management.
- Proficiency in Azure Data Factory, Azure Blob Storage, Azure Databricks, and AzureDevOps.
- Extensive knowledge of ETL/ELT processes, including pipelines for AI/ML models.
- Expertise in performance tuning, optimisation, and governance of Databricks platforms.
- Strong experience with dimensional modelling techniques.
- Ability to manage end-to-end data platforms, from ingestion to presentation layers.
- Proficiency in SQL, Python, and Spark.
- Experience with Unity Catalog and data security/privacy measures.
- Knowledge of big data tools (e.g., Google Maps API, Apify) and machine learning fundamentals.
- Hands-on experience with AI/ML model development, deployment, and performance monitoring.
- Ability to explain AI model outcomes and metrics to non-technical stakeholders.
- Strong analytic and consultative skills.
- Excellent communication and interpersonal abilities to collaborate across diverse teams.
- Results-oriented mindset with a focus on delivering against KPIs.
- Exceptional time management and multitasking abilities.
- Passion for working in a purpose-driven sector.
- Fluent in English.
- ?? Salary: £84,000 per year.
- �? Holidays: Generous annual leave.
- �? Pension Scheme: Comprehensive and competitive.
- ??? Retail Discounts: Access to exclusive discounts on a variety of brands.
