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Data Engineer

0000050079 London branch of Royal Bank of Canada

North East

On-site

GBP 35,000 - 60,000

Full time

Yesterday
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Job summary

A leading bank in the UK seeks a Data Engineer to enhance its Data Lakehouse platform in Newcastle. The role involves developing infrastructure, managing data pipelines, and applying specialized knowledge in data management and Azure technologies to optimize performance and delivery. Join a collaborative team committed to innovative solutions.

Benefits

Leadership support for development
Opportunities to work with experts
Impactful work
Dynamic, collaborative team

Qualifications

  • Minimum 2 years experience in data management.
  • Strong knowledge of Data Management architectures.
  • Experience with large datasets and data pipelines.

Responsibilities

  • Develop and maintain Data Lakehouse platform infrastructure.
  • Manage data pipelines from sources to consumption.
  • Automate data preparation and integration tasks.

Skills

Data integration
Data modelling
Data quality
SQL
T-SQL
Data Warehouse
DevOps
Agile

Tools

Microsoft Azure
Databricks
Data Factory
GitHub
SQL on Hadoop
Synapse Analytics
Terraform

Job description

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:

  1. Developing and maintaining the Data Lakehouse platform infrastructure using Microsoft Azure technologies like Databricks and Data Factory.
  2. Managing data pipelines from data sources to consumption, ensuring they are created, maintained, and optimized.
  3. Using SQL and PySpark to create and modify notebooks, functions, and workflows for reporting and analytics.
  4. Creating and maintaining Dev, UAT, and Production environments for consistency.
  5. Automating data preparation and integration tasks to improve productivity.
  6. Using version control tools like GitHub and data/schema comparison tools.
  7. Championing DevOps practices for data pipelines and ensuring proper documentation and review.
  8. Identifying and sourcing process improvements to automate manual tasks and optimize data delivery.
  9. Engaging with team and business stakeholders to foster relationships and develop thought leadership.
  10. Following Agile methodologies and collaborating in sprints and meetings.
  11. 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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