Senior Data Engineer

• Utilise cloud technologies and programming languages to develop and maintain centralised data platforms that support the business's operational and strategic needs.
• Collaborate with stakeholders to translate data requirements into actionable requests or build solutions.
• Collaborate with the project manager to coordinate the prioritisation of data requests to meet business needs in the most appropriate and controlled manner.
• Lead the development and improvement of technical data standards and ensure the development of data products are compliant.
• Act as the Data Workstream Lead for change portfolios to provide technical knowledge and design steer to ensure that the proposed solutions fit within our data strategy and design standards.
• Manage and review the work of assigned engineers and offshore partners, mentoring and sharing best practices.
• Ensure all data processes and reports are accurately and appropriately documented and that all data governance and quality processes are followed and continuously improved.

Do you have experience in SQL?, * Strong working knowledge of data warehousing, ETL/ELT processes and programming languages (SQL, Python, PySpark).

• Experience on Cloud based BI/MI methodology, such as use of Azure, DataBricks, Azure Data Factory and Fabric.
• Proven experience of taking a development lead on work streams within a data centric or technical project.
• Demonstrated ability to apply tools and processes for data security, quality, and accuracy, while implementing best-practice data management, governance, and quality standards.
• Exceptional communication skills with the ability to translate technical data to a non-technical audience.
• Ability to work accurately under pressure in fast-paced environments and prioritise tasks to stay responsive to business needs.
• Experience of proactively building and maintaining relationships both externally and internally.

Desirable

• Previous experience of working in the financial services sector