Senior Data Engineer, Azure
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.
You'll 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
- 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)
- Excellent Python and SQL skills
- 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.