This is an excellent opportunity for hands-on Data Engineers who enjoy building scalable data solutions, solving complex data challenges, and contributing to enterprise-wide cloud transformation initiatives.
Key Responsibilities
* Design, build, and optimise scalable ETL/ELT data pipelines.
* Develop and maintain data solutions using Databricks, Python, SQL, and Oracle.
* Support the migration of data assets from legacy platforms into modern cloud-based environments.
* Deliver enterprise-grade data solutions within a highly regulated environment.
* Ensure data quality, integrity, performance, and security standards are met.
* Collaborate with technical and business stakeholders to translate requirements into effective data solutions.
* Troubleshoot production issues and implement sustainable fixes.
* Contribute to the continuous improvement of the organisation's data platform and engineering practices.
Required Skills & Experience
* 5+ years' commercial experience as a Data Engineer.
* Strong hands-on expertise with Databricks.
* Advanced SQL development skills.
* Strong Python programming experience.
* Extensive experience working with Oracle databases.
* Proven experience building and supporting enterprise data pipelines and integration solutions.
* Experience working within cloud-based data platforms.
* Strong understanding of data modelling, performance optimisation, and data quality controls.
Desirable Experience
* Banking or Financial Services experience.
* Experience working within regulated environments.
* Exposure to Azure Data Platform services.
* Experience supporting cloud migration or modernisation programmes.
* Knowledge of CI/CD and DevOps practices for data engineering.
Contract Details
* Inside IR35
* 6-month initial contract
* 3 days per week onsite in Canary Wharf, London
* Immediate start preferred
If you are interested in learning more, please apply with an updated copy of your CV
Salary description
£460.00 - £470.00 per day