Are you a senior data engineering professional ready to take ownership of modern data platforms in a quick-growing FinTech environment? Our client is scaling rapidly and is searching for a Lead Data Engineer to architect, build, and optimise next-generation data solutions that power real-time insights and smarter financial products.
Responsibilities
- Leading the design, development, and optimisation of a scalable data platform built on Microsoft Fabric and Azure
- Driving data engineering standards, governance, and architecture across the business
- Collaborating with analytics, product, and engineering teams to deliver reliable, insight-ready datasets
- Managing and mentoring data engineers while remaining hands‑on in development
- Overseeing data pipelines, lakehouse implementations, and semantic models for BI and analytics
- Ensuring best‑in‑class data quality, observability, security, and performance
Essential skills and experience
- Proven experience as a Senior/Lead Data Engineer in a cloud‑first environment
- Strong expertise across Microsoft Fabric, Azure Data Platform (ADF, Databricks, Synapse, Data Lake, etc.)
- Solid understanding of Power BI data modelling and governance
- Advanced skills in data pipeline development, orchestration, and architecture
- Experience with modern data frameworks (lakehouse, medallion architecture, CI/CD for data)
- Excellent collaboration skills with the ability to influence and guide stakeholders
Desirable skills and experience
- FinTech, financial services or scale‑up experience
- Exposure to machine learning pipelines or real‑time streaming
- Leadership in data governance, metadata, or MDM initiatives
In this role will be leading the data strategy, architecture and engineering best practices for a high‑impact and successful scale‑up. This is an urgent position, looking to get the right Data professional started in 2025. If you are a data leade
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