At a Glance
- Tasks: Build and maintain scalable cloud data pipelines for analytics and regulatory needs.
- Company: Join Principality Building Society, a forward-thinking organisation focused on innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on collaboration and trust.
- Why this job: Make a real impact by shaping a modern Data & Analytics platform.
- Qualifications: Experience in data engineering and a passion for data quality and governance.
The predicted salary is between 63000 - 77000 £ per year.
Principality Building Society is seeking a proactive Data Engineer to shape, develop and maintain a modern cloud‑based Data & Analytics platform.
You will create scalable data solutions for structured and unstructured data, and build automated pipelines supporting regulatory, analytics and data warehousing needs.
You will contribute to data quality, metadata management and lineage, while partnering with data governance teams to improve visibility and trust in data.
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Hybrid Data Engineer: Build Scalable Cloud Pipelines in Cardiff employer: Principality Building Society
Join a dynamic organisation where you can play a pivotal role in shaping funding and liquidity strategy as a BSM Senior Manager. Our collaborative, high-performing team offers a supportive work culture that values innovation and continuous improvement, providing ample opportunities for professional growth and influence at the executive level. With a focus on strategic decision-making and a commitment to robust risk management, this role is perfect for those looking to make a meaningful impact in a regulated environment.
Contact Details:
Principality Building Society Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer: Build Scalable Cloud Pipelines in Cardiff
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We think you need these skills to ace Hybrid Data Engineer: Build Scalable Cloud Pipelines in Cardiff
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Principality Building Society. 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!
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✨Brush Up on Your Statistics
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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.
