About this role
Salary: £62,000 - 62,000 per year
Requirements: We require a consultancy or professional services background, with experience juggling several clients at once.We require strong data governance knowledge, including definitions, lineage, quality, ownership and access control.We require data modelling experience, including building a single source of truth across messy, multi-source data.We require hands-on experience with Azure, Databricks and Microsoft Fabric.We require strong SQL and Python skills.We require the ability to stay billable and remain hands-on at a senior level.Experience with agentic architecture and applying LLMs to real data problems is a plus.Experience in data-sensitive sectors such as insurance or finance is a plus.Experience leading small delivery teams is a plus. Responsibilities: We lead client projects while staying hands-on with ETL development, data modelling and pipeline build.We design lakehouse models in Azure and Databricks.We work directly with clients to understand their data needs and shape the right solution.We collaborate with data engineers and software developers on delivery.We set frameworks and standards from scratch and apply them across live client work.We deliver across a variety of client problems and industries, including financial rules, stock and inventory, and other sector-specific data challenges.As we grow, we help lead the data function and support the development of the wider team. Technologies: AIAzureDatabricksETLFabricSupportPythonSQLCloudCopilotData Vault More:
We are a London-based data and AI consultancy with a small, flat structure and a collaborative, hands-on culture. We work across retail, ecommerce, insurance, education, media and hospitality, and this role is a second hire in a successful seat as our client base continues to grow. The role is hybrid, with around three days a week in our London office, two days from home, and occasional client visits. We offer a company-performance bonus, expensed client travel, and real room to grow into leading our data function as the business scales.
last updated 33 week of 2026