Reporting to Team Leader, you will be working closely with stakeholders and specialists across ClearBank, help build a best-in-class data platform, support data science initiatives, and deliver bespoke data and insights from our growing Data Lakehouse.
Contribute to this evolution, embedding data into our DNA and enabling customer growth.
Requirements
Experience in Data Engineering
Python Proficiency (PySpark, mlflow), SQL (backed by spark – Databricks)
Solutions Driven and Delivery: Committed to delivering incremental value to users, not just writing code.
Effective Communication: Able to communicate effectively with both technical and non-technical stakeholders.
Lifecycle Ownership: We work on a principle 'We build it, we own it'. Experience and desire to own solutions throughout their development lifecycle – from design and testing to deployment and monitoring.
Team Player: Collaborative and supportive, working well within a team environment.
Automation mindset - be it testing, monitoring, or operational processes; we drive for as little manual intervention as possible
Infrastructure as Code - we use Terraform to deliver scalable production platforms on Azure Cloud
Azure Databricks, and Azure Analytics Services (Azure OpenAI service, Azure Data Factory etc)
Experience in Azure DevOps & Docker container for efficient software development process (version control, CI/CD etc) with Agile software development
Domain knowledge in Financial Services/Banking
Appreciation for event-based architecture and how this applies to a big data platform
Benefits
42% of our senior management roles are held by women
Our enhanced family leave policies
Launching our partnership with Code First Girls
Increasing awareness of neurodiversity in the workplace through our partnership with the Inclusive Group
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