Engineering Manager - Data

<p><strong>Who We Are.</strong></p> <p>Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.</p> <p><strong>Let's talk about the cool stuff you will do at Axi!</strong></p> <p>You will lead Axi's global Data team, which owns the company's data end-to-end: ingestion, modelling, reporting, and alerting. Our platform runs in the Microsoft/Azure ecosystem, with Databricks and ClickHouse as core data platforms and dbt for pipelines and data validation, supporting a 24/7 trading business.</p> <p><strong>Your EDGE Assignment/You Will</strong></p> <ul> <li>Lead and grow a distributed team of data engineers and analytics engineers building Axi's data platform on Azure, Databricks, and ClickHouse.</li> <li>Own all data elements end-to-end: ingestion, data models, pipelines, reporting, dashboards, and alerting.</li> <li>Set technical direction for the data architecture, including modelling standards, data contracts, and the right use of Databricks vs. ClickHouse.</li> <li>Drive dbt-based pipeline development, testing, and data validation so the business can trust its numbers.</li> <li>Own data governance and security: cataloguing, lineage, access control, PII protection, and regulatory compliance.</li> <li>Ensure reliability and cost efficiency of the platform through clear SLAs, monitoring, alerting, and CI/CD for data.</li> <li>Partner with Product, Finance, Risk, Compliance, and engineering PODs to prioritise data needs and deliver trusted reporting.</li> </ul> <p><strong>Are you the one?</strong></p> <ul> <li>Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and advanced SQL.</li> <li>Experience with ClickHouse or similar real-time analytical databases, including schema design and performance tuning.</li> <li>Solid dbt experience: modelling, testing, documentation, and data quality frameworks.</li> <li>Good knowledge of Azure data services: ADLS Gen2, Data Factory, Event Hubs, Key Vault, Microsoft Entra ID, and Microsoft Purview.</li> <li>Strong grasp of data governance and security: RBAC, row/column-level security, encryption, masking, auditing, and retention.</li> <li>Experience with reporting and alerting tools (Power BI or similar) and CI/CD for data (Azure DevOps or GitHub Actions).</li> </ul> <p>Experience and