Engineering Manager - Data

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. Axi's bag of delights Competitive and attractive compensation. Extensive learning opportunities, such as professional training and certifications and soft skills development. 18 annual leave days per year. 12 sick days leave per year. Public holidays as declared by local government. Maternity leave as per law. Health Insurance Axi's interview journey Talent Acquisition Interview + AI Interview (60 minutes) Hiring Manager Exploratory Discussion (45 mins) Design and Leadership Round (60 - 75 minutes) Architecture and Technology Round (60 - 75 minutes) Cross Functional and Culture Fit (60 minutes) Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume. At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.