Robert Half
Data Engineer
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Data Engineer – FinTech – City of London (Hybrid Working)
£70,000 - £85,000 + Annual Bonus & Benefits
About the Organisation
This rapidly growing financial services firm provides trade finance and settlement solutions to large corporate multinationals and their supply chains worldwide. Its integrated solutions help businesses improve cash flow and optimise the financing and settlement of trade payables and receivables.
Operating across multiple continents, the organisation is continuing to grow and evolve its technology, data and product capabilities. Data is increasingly central to the business, supporting operational efficiency, automation, analytics and better decision-making.
This is an exciting opportunity for a Data Engineer to join the organisation at an important stage of its data transformation journey, with a particular focus on building modern data infrastructure using Microsoft Fabric.
The Role
The Data Engineer will take a hands-on role in designing, developing and maintaining the organisation's data engineering environment. Working closely with technology, product, operations and business stakeholders, the role will be responsible for building robust data pipelines, developing data lakes and lakehouses, integrating data from multiple sources and ensuring data is readily available for reporting, analytics and downstream applications.
The role will suit a technically strong Data Engineer who enjoys getting into the detail of data architecture and development, while also understanding how well-engineered data solutions support wider business objectives.
Key Responsibilities
- Design, build and maintain scalable data pipelines and ETL/ELT processes using Microsoft Fabric.
- Develop and maintain modern data lake and lakehouse architectures, ensuring data is structured effectively for analytics and operational use.
- Work with Microsoft Fabric Data Factory, Data Engineering, Lakehouse and related services to build and manage data solutions.
- Extract, transform and load data from a range of internal and external sources.
- Develop robust data ingestion and transformation processes, ensuring data is accurate, reliable and fit for purpose.
- Build and optimise data models and data structures to support reporting, analytics and business intelligence.
- Work with structured and semi-structured data and develop appropriate transformation and processing approaches.
- Develop reusable and scalable engineering patterns for data ingestion, transformation and consumption.
- Monitor data pipelines and investigate failures, performance issues and data quality problems.
- Implement appropriate validation, reconciliation and data quality controls across data pipelines.
- Support data migration and integration initiatives, ensuring data is transferred accurately and with appropriate auditability.
- Work closely with analysts, BI developers and business stakeholders to understand data requirements and translate them into effective engineering solutions.
- Contribute to the development of the organisation's broader data architecture and engineering standards.
- Apply appropriate security, access control and governance principles to data and data platforms.
- Ensure solutions are well documented, maintainable and aligned with relevant regulatory and security requirements.
- Continuously identify opportunities to improve data processes, automation, performance and scalability.
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The Person
The organisation is looking for a hands-on Data Engineer who can take ownership of data engineering projects from initial requirements through to implementation and ongoing optimisation.
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The successful candidate will have:
- Proven experience working in a Data Engineering role, ideally within a modern cloud data environment.
- Strong hands-on experience building data pipelines and ETL/ELT processes.
- Practical experience working with data lakes, lakehouses and modern data platforms.
- Strong SQL skills and experience with data transformation and data modelling.
- Experience with Microsoft Fabric or closely related Microsoft/Azure data technologies.
- A good understanding of data engineering principles, including orchestration, scalability, performance, monitoring and data quality.
- Experience integrating data from multiple sources and working with complex datasets.
- An ability to troubleshoot data and pipeline issues and develop robust solutions.
- Strong attention to detail and an appreciation of the importance of data accuracy, integrity and security.
- The ability to work collaboratively with both technical and non-technical stakeholders.
- A proactive approach, with the ability to identify improvements rather than simply respond to existing requirements.
Why Join?
This is a key role within an organisation where data is becoming increasingly fundamental to its growth and technology strategy. The successful candidate will have the opportunity to play a hands-on role in building out a modern data platform, with significant exposure to Microsoft Fabric, data lakes, pipelines, integrations and data architecture.
It offers the opportunity to have genuine ownership over the development of the data engineering capability while working closely with senior stakeholders across technology and the wider business.
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