Data Engineer

We have an exciting opportunity for a Data Engineer to join the team in Newcastle or London. You 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. The primary focus being the ingestion and modelling of new data, and the evolution of the platform itself utilising new technologies to improve performance and accuracy of the data.

RBC's expectation is that all employees and contractors will work in the office with some flexibility to work up to 1 day per week remotely, depending on working arrangements.

What will you do?

• Responsible for the development and ongoing maintenance of the Data Lakehouse platform infrastructure using the Microsoft Azure technology stack, including Databricks and Data Factory.
• Manage data pipelines consisting of a series of stages through which data flows (for example, from data sources or endpoints of acquisition to integration to consumption for specific use cases). These data pipelines must be created, maintained and optimized as workloads move from development to production for specific use cases. Architecting, creating and maintaining data pipelines will be the primary responsibility of the data engineer.
• Create new and modify existing Notebooks, Functions and Workflows to support efficient reporting and analytics to the business.
• Create, maintain, and develop Dev, UAT and Production environments ensuring consistency.
• Responsible for using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks to minimize manual and error-prone processes and improve productivity.
• Competent in using GitHub (or other version control tooling) and in using data and schema comparisons via Visual Studio.
• Champion for the DevOps process to ensure the latest techniques are being used and that implementation methodologies involving new or changes to existing source code or data structures follow the agreed development and release processes and that all productionised code is adequately documented, reviewed and unit tested where appropriate.
• Identify, source, stage, and model internal process improvements to automate manual processes and optimise data delivery for greater scalability, as part of the end-to-end data lifecycle.
• Be curious and knowledgeable about new data initiatives and how to address them. This includes applying their data and/or domain understanding in addressing new data requirements. Additionally, be responsible for proposing appropriate (and innovative) data ingestion, preparation, integration and operationalization techniques in optimally addressing these data requirements., We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
• Leaders who support your development through coaching and managing opportunities.
• Opportunities to work with the best in the field.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.

Do you have experience in Visual Studio?, * Proven experience working within Data Engineering and Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management.

• Proven experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.
• Strong experience with popular database programming languages for relational databases (SQL, T-SQL).
• Experience working on a cloud data platform such as Databricks or Snowflake.
• Adept in agile methodologies, and capable of applying DevOps and DataOps principles to data pipelines.
• Basic experience in working with data governance, data quality and data security teams.
• Good understanding of datasets, Data Lakehouses, modelling, database design and programming
• Knowledge of Data Lakehousing techniques, solutions and methodologies
• Strong experience supporting and working with cross-functional teams in a dynamic business environment.
• Required to be highly creative and collaborative working closely with business teams and IT teams to define the business problem, refine the requirements, and design and develop data deliverables accordingly.

Nice-to-have

• Knowledge of Terraform or other Infrastructure-as-code tools.
• Experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, Java, C++, Scala, R, and others.
• Experience using automated unit testing methodologies., Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.