At a Glance
- Tasks: Design and build data platforms using Snowflake and Python for impactful insights.
- Company: Crown Agents Bank, a growing UK bank transforming payments in emerging markets.
- Benefits: Hybrid working, competitive salary, private medical insurance, and generous pension contributions.
- Other info: Dynamic environment with opportunities for professional growth and development.
- Why this job: Join a mission-driven team making finance accessible globally through innovative data solutions.
- Qualifications: Degree in STEM or equivalent experience; expertise in Snowflake and Python required.
The predicted salary is between 60000 - 80000 £ per year.
Company Description
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.
Essential 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
- 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
Data Engineer employer: Crown Agents Bank
Crown Agents Bank is an excellent employer that values integrity and compliance, offering a dynamic work culture where collaboration and attention to detail are paramount. Employees benefit from ongoing professional development opportunities and a supportive environment that encourages growth within the financial sector. Located in a vibrant area, the bank provides a unique chance to engage with diverse banking partners while contributing to meaningful anti-financial crime initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Crown Agents Bank.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Crown Agents Bank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Crown Agents Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Crown Agents Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Crown Agents Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Crown Agents Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.