Senior Data Engineer

RBC; London; On-site; GBP 50,000 - 90,000

Job description

Job Summary

Job Description

What is the opportunity?

We have an exciting opportunity to join our London or Newcastle office as a Senior Data Engineer.

This role works 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 utilising new technologies to improve performance and accuracy of the data.

What will you do?

• Be responsible for the design, 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).
• Thorough understanding of SQL and PySpark to 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.
• Support and guide team on technical design and implementations.
• Be proactive in identifying new opportunities / enhancements of the Data Analytics environment, together with any migrations as required.
• 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 and reviewed.
• 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.

What do you need to succeed?

Must-have

• Proven experience in data management disciplines including data integration, modelling, optimisation, and data quality.
• 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 various Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management.
• Knowledge of T-SQL and certifications or demonstrable knowledge on upcoming NoSQL/Hadoop oriented databases like CosmosDB.
• Experience working with cross-functional teams in a dynamic business environment.

Nice-to-have

• Knowledge of Terraform.
• Knowledge of Agile project management principles.
• Experience of Databricks Workspace Deployment and Management.

What is in it for you?

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.
• Flexible working options fully supported.

Agency Notice

RBC Group does not accept agency resumés. Please do not forward resumés to our employees, nor any other company location. RBC Group only pay fees to agencies where they have entered into a prior agreement to do so and in any event do not pay fees related to unsolicited resumés. Please contact the Recruitment function for additional details.

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Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address: 12 SMITHFIELD STREET:LONDON

City: London

Country: United Kingdom

Work hours/week: 35

Employment Type: Full time

Platform: WEALTH MANAGEMENT

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-03-31

Application Deadline: 2025-04-14

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

Inclusion and Equal Opportunity Employment

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.

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