Data Engineer

Role Purpose

As a Data Engineer you will be responsible for designing building and maintaining the banks data platforms and pipelines to ensure reliable secure and high-quality data is available for reporting analytics and regulatory requirements. Using technologies such as Snowflake and Power BI you will develop scalable data solutions that transform complex data into trusted business insights. You will work closely with business risk finance and technology teams to optimise data processes promote data governance and enable data-driven decision-making through automation advanced analytics and modern cloud-based data engineering practices.

Role Responsibilities

• Design develop and maintain scalable data pipelines and data integration solutions using Snowflake Python and modern cloud technologies.
• Implement and optimise data ingestion transformation and orchestration processes using Snowflake capabilities including Snowpark Tasks Streams Snowpipe and SnowSQL.
• Ensure the delivery of secure reliable and high-quality data to support operational reporting regulatory requirements and strategic decision-making.
• Manage source code version control and deployment activities through GitHub following best-practice software development and DevOps methodologies.
• Partner with Power BI Developers and business stakeholders to deliver trusted datasets data models and actionable insights that drive business performance.
• Develop and support predictive analytics and machine learning solutions including forecasting models that enhance business planning and decision-making.
• Leverage emerging technologies including Artificial Intelligence (AI) and automation to improve data engineering efficiency optimise processes and accelerate insight generation.
• Support the growth and maturity of the banks Data Management and Analytics function contributing to the establishment of a centre of excellence for data and analytics.
• Assist in the development and execution of the CAB Data Strategy ensuring alignment with business objectives data governance standards and regulatory expectations.
• Promote best practices in data engineering data quality documentation governance and continuous improvement across the organisation.

Qualifications :

Bachelors Degree in STEM or Equivalent Professional qualification or Industry experience.

Essential Experience

• Strong expertise in Snowflake data warehousing including Tasks Snowpark Streams SnowSQL and Snowpipe
• Proven hands-on experience developing applications and ETL processes using Python
• Strong experience in developing AI/ML forecasting applications with Python
• Proficiency using GitHub for version control and code management
• Excellent problem-solving skills and attention to detail
• Ability to work both independently and collaboratively in a fast-paced environment
• Strong communication and stakeholder management skills
• Desirable Experience - Previous experience in Banking
• Previous experience with Power BI and Power BI service configuration

Additional Information :

• Hybrid working
• Contributory personal pension plan: - Minimum: Employee 2% and Employer 7%. Employer matches contributions in 1% increments to a maximum of: Employee 5% and Employer 10%
• Life Assurance 4 times annual salary
• Group Income Protection
• Private Medical Insurance this may include cover for partner and or children at company cost. Cover includes Optical Dental and Audiology
• Discretionary Bonus
• Competitive Annual Leave
• 2 Volunteering Days
• Benefit Hub

Remote Work :

No

Employment Type :

Full-time