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Data Engineer at RBC London – build wealth‑management data pipelines using Databricks and Azure.
Permanent full‑time role, 4‑day week, focus on Lakehouse architecture and DevOps.
What's the Opportunity?
Data Engineer - Build the Future of Wealth Management Data!
We're looking for a passionate Data Engineer to join our innovative team in London or Newcastle and help shape the future of our Data Lakehouse platform! In this role, you'll collaborate closely with business and technology teams across Wealth Management Europe (WME), building and optimising the data pipelines that turn raw financial data into trusted, actionable insights using cutting‑edge tools like Databricks, Azure Data Factory, and Delta Lake. This is a permanent, full‑time role and requires working 4 days a week in our London or Newcastle office.
What Will You Do?
- Architect & Optimize Data Pipelines: Design, build, and maintain scalable pipelines across our Bronze, Silver, and Gold medallion architecture - from raw source ingestion through to the analytics layer that powers our business.
- Own the Platform: Perform daily monitoring of pipeline health, proactively resolve issues end‑to‑end, and keep our data flowing reliably for the teams that depend on it.
- Innovate with Modern Tech: Leverage Azure, Databricks, and Data Factory to automate repetitive tasks, enhance performance, and future‑proof our platform.
- Champion DevOps & DataOps: Lead by example with Gitflow branching, structured pull request reviews, and rigorous testing practices.
- Collaborate Across Teams: Partner with data analysts, architects, and business stakeholders to translate requirements into well‑engineered technical solutions that drive strategic decisions.
- Innovate Continuously: Spot opportunities to improve pipeline performance, platform architecture, and engineering processes - and do something about them.
Must‑Have
- Proven experience in Data Engineering working within a Lakehouse environment (Databricks is preferable)
- Strong SQL/T‑SQL skills and a knack for database design and modelling
- Experience and knowledge of Python and PySpark
- Proven experience building and optimising big data pipelines at scale with structured and semi‑structured data
- Hands‑on experience with Azure Data Factory, ADLS Gen2, and Azure SQL Database
- Solid Azure DevOps practices including Git, branching strategies, and agile delivery
- A thorough approach to testing - source system through to the presentation layer
Nice‑to‑Have
- Familiarity with Infrastructure‑as‑Code (e.g. Terraform)
- Experience with data governance, quality, and security processes.
- Familiarity with Azure DevOps Pipelines and CI/CD for data platform deployments
- A curious, problem‑solving attitude and a passion for automating manual processes.
Why Join Us?
This isn't just a job-it's a chance to pioneer data solutions in a dynamic, relationship‑driven industry. At RBC, we value lasting partnerships, both with our clients and our teams. You'll work with brilliant minds, tackle meaningful challenges, and grow your career in a sector that thrives on trust and innovation.
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.
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
Almacenamiento de datos (DW), Análisis de requisitos, Computación de la nube, Desarrollo de bases de datos, Gestión de Big Data, Gestión de calidad, Minería de datos, Procesamiento ETL, Resolución de problemas en grupo
Additional Job Details
Address: 100 BISHOPSGATE:LONDON
City: London
Country: Reino Unido
Work hours/week: 35
Employment Type: Full time
Platform: WEALTH MANAGEMENT
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-07-14
Application Deadline: 2026-07-29
Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.