Senior Data Engineer, Azure London/hybrid Circa £90k-£100k bonus benefits Senior Data Engineer required by global banking organisation to help build and scale a modern data platform within a complex financial services environment. This role plays a key part in bringing together data from multiple regions into a single, well-governed and scalable platform built on Microsoft Fabric and Azure. Youll work closely with business stakeholders, product owners and federated data teams to design and deliver a shared data model that supports incremental business outcomes while improving consistency, quality and reuse across the organisation. This is a hands-on role with real influence over data architecture, engineering standards and ways of working. Key responsibilities: Designing and evolving a shared enterprise data model in collaboration with stakeholders Translating product and business requirements into robust data solutions Building secure, observable and performant data pipelines using modern engineering practices Integrating, cleansing and curating data using a medallion architecture approach Ensuring data quality, integrity and completeness across datasets Optimising pipelines, processing workflows and warehouses for performance and cost Working closely with analysts and data scientists to enable downstream use cases Embedding security, monitoring and operational best practice into all solutions Contributing to engineering standards, patterns and best practice across data teams Supporting CI/CD improvements in partnership with DevOps Keeping up to date with the Microsoft Fabric roadmap and introducing new capabilities where appropriate Helping define effective delivery processes for new data products Key skills: At least 5 years experience working in cloud-based data engineering roles Proven track record delivering complex, enterprise-scale data solutions Comfortable working across multiple teams, domains or business units Strong experience in data modelling and database design Excellent Python and SQL skills Hands-on experience with Microsoft Fabric and Azure data services Experience with technologies such as Azure Data Factory, Synapse, SQL Server and Power BI Solid understanding of data warehousing, lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Experience working with Apache Spark and large-scale data processing For a full consultation on this exciting new role, please get in touch with ARC IT Recruitment today.