Data Engineer

Crown Agents Bank is a vastly growing and regulated UK bank that connects emerging and frontier markets to the rest of the world, using FX and payments technology.

We are transforming the way payments and FX move through emerging markets, reducing friction so that more money gets to those who need it.

Emerging markets payments are usually challenging, expensive, unreliable and opaque.

Our solutions help fix these pain points.

Ultimately, we connect traditionally hard-to-reach regions to global financial infrastructure, giving access to the best prices and the fastest, most reliable settlement.

FX and cross-border payments are often complex and expensive, especially when operating in emerging markets.

Crown Agents Bank (CAB) wraps its deep and trusted relationships and strength of network around innovative digital capabilities, and cross-border transaction banking solutions to enable fintech, corporates, governments, development organisations and banks to move money to, from, and across often hard-to-reach markets.

Job Description

Role Purpose

As a Data Engineer, you will be responsible for designing, building, and maintaining the bank's 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 Snow SQL.
• 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 Git Hub, following best-practice software development and Dev Ops 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 bank's 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

Bachelor’s Degree in STEM or Equivalent Professional qualification or Industry experience.

• Strong expertise in Snowflake data warehousing, including Tasks, Snowpark, Streams, Snow SQL, 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 Git Hub 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
• 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
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