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- Tasks: Join us as a Data Engineer, developing and optimising our Data Lakehouse platform.
- Company: Be part of the Royal Bank of Canada, a leader in wealth management across Europe.
- Benefits: Enjoy leadership support, opportunities for growth, and a collaborative work environment.
- Why this job: Make a meaningful impact while working with top experts in a dynamic team.
- Qualifications: Two years of data management experience and proficiency in SQL and Azure tools required.
- Other info: Remote work options available; EU work permit needed.
The predicted salary is between 36000 - 60000 £ per year.
Social network you want to login/join with:
0000050079 London branch of Royal Bank of Canada
Location:
Newcastle upon Tyne, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
0f0cd6d0ac7d
Job Views:
10
Posted:
09.07.2025
Job Description:
Job Description
We have an exciting opportunity for a Data Engineer to join the team in our London/Newcastle offices. The successful candidate will work closely with business and technology teams across Wealth Management Europe (WME) to support the ongoing maintenance and evolution of the Data Lakehouse platform, focusing on the ingestion and modelling of new data, and the evolution of the platform itself utilizing new technologies to improve performance and accuracy of the data.
Responsibilities include:
- Developing and maintaining the Data Lakehouse platform infrastructure using Microsoft Azure technologies like Databricks and Data Factory.
- Managing data pipelines from data sources to consumption, ensuring they are created, maintained, and optimized.
- Using SQL and PySpark to create and modify notebooks, functions, and workflows for reporting and analytics.
- Creating and maintaining Dev, UAT, and Production environments for consistency.
- Automating data preparation and integration tasks to improve productivity.
- Using version control tools like GitHub and data/schema comparison tools.
- Championing DevOps practices for data pipelines and ensuring proper documentation and review.
- Identifying and sourcing process improvements to automate manual tasks and optimize data delivery.
- Engaging with team and business stakeholders to foster relationships and develop thought leadership.
- Following Agile methodologies and collaborating in sprints and meetings.
- Applying data and domain knowledge to address new data requirements and proposing innovative techniques.
Requirements:
- At least two years of experience in data management disciplines such as data integration, modelling, and quality.
- Experience working with cross-functional teams and supporting data initiatives.
- Strong knowledge of Data Management architectures like Data Warehouse, Data Lake, Data Hub.
- Experience with large datasets and building data pipelines using traditional technologies.
- Proficiency in SQL and T-SQL.
- Knowledge of SQL on Hadoop and Azure tools like Synapse Analytics, Data Factory, Databricks.
- Familiarity with agile, DevOps, and DataOps principles.
- Basic experience with data governance, security, and building prototypes into data products.
Preferred:
- Knowledge of Terraform.
- Experience with analytics tools and programming languages like Python, Java, Scala, R.
What’s in it for you?
- Leadership support for your development.
- Opportunities to work with top experts.
- Make a meaningful impact.
- Work in a dynamic, collaborative team.
Note: RBC Group does not accept agency resumés. Please do not forward resumés to employees or other locations. Contact Recruitment for details.
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Data Engineer employer: 0000050079 London branch of Royal Bank of Canada
Contact Detail:
0000050079 London branch of Royal Bank of Canada Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Microsoft Azure technologies, especially Databricks and Data Factory. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Engage with online communities or forums related to data engineering and Azure. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your SQL and PySpark skills by working on personal projects or contributing to open-source projects. This hands-on experience will be invaluable during technical discussions.
✨Tip Number 4
Stay updated on the latest trends in data management and DevOps practices. Being knowledgeable about current industry standards will set you apart from other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, particularly with technologies like Microsoft Azure, SQL, and PySpark. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the Data Lakehouse platform. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your proficiency in SQL, T-SQL, and any experience with Azure tools. If you have worked with large datasets or built data pipelines, provide examples to illustrate your capabilities.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of how you've successfully collaborated with others in previous roles. This could be through Agile methodologies or DevOps practices.
How to prepare for a job interview at 0000050079 London branch of Royal Bank of Canada
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Microsoft Azure technologies, especially Databricks and Data Factory. Highlight specific projects where you developed or maintained data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Needs
Research the Royal Bank of Canada's approach to data management and their specific needs in Wealth Management Europe. This knowledge will allow you to tailor your responses and show how you can contribute to their Data Lakehouse platform.
✨Emphasise Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others. Discuss any Agile methodologies you've used and how they improved project outcomes.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify process improvements and automate tasks. Think of specific instances where you optimised data delivery or implemented DevOps practices, and be ready to explain your thought process.
