Engineering Manager - Data

The role

You will lead a distributed global data team owning ingestion, modelling, reporting, and alerting. You will build and manage a data platform on Azure, Databricks, and ClickHouse.

What you will do

• Lead and grow a distributed team of data engineers and analytics engineers.
• Own all data elements end-to-end including ingestion, data models, pipelines, reporting, dashboards, and alerting.
• Set technical direction for the data architecture.
• Drive dbt-based pipeline development, testing, and data validation.
• Own data governance and security including cataloguing, lineage, access control, PII protection, and regulatory compliance.
• Ensure reliability and cost efficiency of the platform through SLAs, monitoring, alerting, and CI/CD.
• Partner with Product, Finance, Risk, Compliance, and engineering PODs to prioritise data needs.

Required qualifications

• 7–14 years in data engineering.
• 3+ years leading data teams as a tech lead or engineering manager.
• 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).
• 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.

Benefits

• 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

Before you apply

• 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)

About the company

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. The business is a multifaceted brokerage with offices in six regions.