Databricks Data Engineer - Hybrid/London

• Design, build and optimise scalable ETL/ELT data pipelines
• Develop and maintain data solutions using Databricks, Python and SQL
• Support migration of data assets from legacy platforms to modern cloud architectures
• Integrate data from enterprise systems, including Oracle databases
• Build reusable data engineering frameworks and promote best practice
• Maintain high standards of data quality, integrity, security and performance
• Troubleshoot production issues and implement sustainable fixes
• Translate business requirements into robust technical solutions in collaboration with architects, analysts and delivery teams
• Produce clear technical documentation and support knowledge transfer

Technologies:

• Azure
• CI/CD
• Cloud
• Databricks
• DevOps
• ETL
• Support
• Oracle
• Python
• SQL
• Security, We are recruiting a hands-on Data Engineer for a major data transformation and cloud modernisation programme in a highly regulated banking environment. This is a six-month temporary contract, inside IR35, paying £400-£450 per day, with an ASAP start and hybrid working in London, typically two to three days per week. The role is delivery-focused rather than a technical lead position, and involves working under the client delivery manager within a multidisciplinary team, following established delivery processes. Clearance sponsorship will be provided where required. Damia Group welcomes applicants from all backgrounds and acts as an employment business for this temporary vacancy.

• Strong commercial experience as a Data Engineer in a large enterprise environment; ideally at least five years of data engineering experience
• Hands-on expertise with Databricks
• Advanced SQL and strong Python development skills
• Extensive experience with Oracle databases
• Proven experience delivering data pipelines and integration solutions
• Experience with cloud-based data platforms, data modelling, performance optimisation and data quality controls
• Experience across the full software development lifecycle
• Ability to work independently and communicate effectively with stakeholders
• Banking or financial services experience, experience in regulated environments, or exposure to Azure data services is desirable
• Knowledge of CI/CD and DevOps practices for data engineering, experience supporting cloud migration or modernisation programmes, and familiarity with data governance and data lineage principles are desirable
• Must have or be eligible to obtain UK Security Clearance at SC/DV level; relevant residency requirements apply, and reserved post nationality restrictions may apply