Engineering Manager - Data

About the role

Who We Are.

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.

Let's talk about the cool stuff you will do at Axi!

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.

Your EDGE Assignment/You Will

- Lead and grow a distributed team of data engineers and analytics engineers building Axi's data platform on Azure, Databricks, and ClickHouse.

- Own all data elements end-to-end: ingestion, data models, pipelines, reporting, dashboards, and alerting.

- Set technical direction for the data architecture, including modelling standards, data contracts, and the right use of Databricks vs. ClickHouse.

- Drive dbt-based pipeline development, testing, and data validation so the business can trust its numbers.

- Own data governance and security: cataloguing, lineage, access control, PII protection, and regulatory compliance.

- Ensure reliability and cost efficiency of the platform through clear SLAs, monitoring, alerting, and CI/CD for data.

- Partner with Product, Finance, Risk, Compliance, and engineering PODs to prioritise data needs and deliver trusted reporting.

Are you the one?

- Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and advanced SQL.

- Experience with ClickHouse or similar real-time analytical databases, including schema design and performance tuning.

- Solid dbt experience: modelling, testing, documentation, and data quality frameworks.

- Good knowledge of Azure data services: ADLS Gen2, Data Factory, Event Hubs, Key Vault, Microsoft Entra ID, and Microsoft Purview.

- Strong grasp of data governance and security: RBAC, row/column-level security, encryption, masking, auditing, and retention.

- Experience with reporting and alerting tools (Power BI or similar) and CI/CD for data (Azure DevOps or GitHub Actions).

Experience and Skills

- 7–14 years in data engineering, with 3+ years leading data teams as a tech lead or engineering manager.

- Proven track record delivering reliable data platforms and reporting in fintech, trading, or other regulated, high-volume environments.

- Comfortable working in an Agile setup with global stakeholders across time zones.