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Data Platform Operations Engineer (London)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time · Permanent — employment source
Should you be shortlisted, do please let us know if you have any specific requirements for the interview. This is a permanent, full-time role and requires 4 days in our 10 Fenchurch Avenue, London office. What will you do?
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What you’ll work on

Full posting
  • Monitor performance and availability, and resolve platform issues proactively

  • Automate and modernize operational processes for the Data Platform

  • Design, deploy and maintain monitoring dashboards and SRE frameworks

  • Support data reconciliation, data quality and governance processes

  • Take part in on-call rotations for out-of-hours support

From the employer’s posting
monitoring and maintaining availability, performance, scalability, and reliability of the Data Platform
Automate and modernize operational processes for the Data Platform.
Design, deploy, and maintain monitoring dashboards and SRE frameworks.
manage data reconciliation/governance processes
Participate in on-call rotations for out-of-hours support.
Apply at Royal Bank of Canada

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Oct 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 54.

From 10,764 similar postings that came down. Coming down is not always a hire.

Royal Bank of Canada is hiring

19 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Delta Lake
  • NoSQL
  • Power BI
  • SQL Server
  • Terraform
  • PySpark
Where the posting names them
- Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts. - Infrastructure & Automation: Terraform, Python/PySpark. - Expertise in data modeling, integration, ETL processes, governance, and security.
- Experience supporting scalable, high-performance data platforms in hybrid (Azure) environments, including data lifecycle management, RDBMS, NoSQL, data warehouses, and cloud infrastructure principles. - Hands-on experience with SQL/ETL tools, CI/CD, DevOps, monitoring/logging, data security/governance (e.g., Purview, Collibra), and version control (Git). - Familiarity with Agile methodologies and ITSM tools (e.g., ServiceNow, Jira).
- Engineering experience, particularly with Site Reliability Engineering (SRE), and the ability to work under tight deadlines. - Databases & Tools knowledge: Microsoft SQL Server (administration, T-SQL, DML, DDL, SSIS), Databricks, Power BI. - Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts.
- Databases & Tools knowledge: Microsoft SQL Server (administration, T-SQL, DML, DDL, SSIS), Databricks, Power BI. - Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts. - Infrastructure & Automation: Terraform, Python/PySpark.
Must-have - Experience supporting scalable, high-performance data platforms in hybrid (Azure) environments, including data lifecycle management, RDBMS, NoSQL, data warehouses, and cloud infrastructure principles. - Hands-on experience with SQL/ETL tools, CI/CD, DevOps, monitoring/logging, data security/governance (e.g., Purview, Collibra), and version control (Git).

Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

What is the opportunity?

As a Data Platform Operations Engineer, your primary focus will be monitoring and maintaining availability, performance, scalability, and reliability of the Data Platform to meet the SLAs and needs of internal and external customers.

In addition, you will be working on automation and improving site reliability utilising a variety of tooling and technologies. You will also be assisting with work Data Quality and Data Assurance, including operational support of reconciliation platforms and processes.

Should you be shortlisted, do please let us know if you have any specific requirements for the interview.

This is a permanent, full-time role and requires 4 days in our 10 Fenchurch Avenue, London office.

What will you do?

Operational

  • Ensure system reliability, uptime, and scalability while delivering changes.

  • Collaborate with cross-functional teams (Data & Analytics, Security, etc.) to uphold best practices.

  • Monitor performance, resolve issues proactively, and maintain a knowledge base for troubleshooting.

  • Manage deployments, data pipeline stability, and dashboard refreshes.

  • Implement security, compliance, and data governance frameworks (e.g., data integrity, privacy, lifecycle management).

  • Maintain documentation, stay updated on industry trends, and support disaster recovery planning.

  • Optimize the Datactics data quality platform and manage data reconciliation/governance processes.

  • Participate in on-call rotations for out-of-hours support.

Engineering

  • Design, deploy, and maintain monitoring dashboards and SRE frameworks.

  • Automate and modernize operational processes for the Data Platform.

  • Leverage AI (Generative/Agentic) and automation to enhance efficiency and self-healing capabilities.

  • Reduce out-of-hours support needs through engineering and AI toolsets.

What do you need to succeed?

Must-have

  • Experience supporting scalable, high-performance data platforms in hybrid (Azure) environments, including data lifecycle management, RDBMS, NoSQL, data warehouses, and cloud infrastructure principles.

  • Hands-on experience with SQL/ETL tools, CI/CD, DevOps, monitoring/logging, data security/governance (e.g., Purview, Collibra), and version control (Git).

  • Familiarity with Agile methodologies and ITSM tools (e.g., ServiceNow, Jira).

  • Incident management experience, with an understanding of high availability/disaster recovery, and application of ITSM principles.

  • Excellent communication, organisational, and interpersonal skills, with the ability to collaborate across teams and produce concise documentation for technical and non-technical audiences.

  • Engineering experience, particularly with Site Reliability Engineering (SRE), and the ability to work under tight deadlines.

  • Databases & Tools knowledge: Microsoft SQL Server (administration, T-SQL, DML, DDL, SSIS), Databricks, Power BI.

  • Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts.

  • Infrastructure & Automation: Terraform, Python/PySpark.

  • Expertise in data modeling, integration, ETL processes, governance, and security.

Nice-to-have

  • Experience with Datactics (or similar platforms) and Generative/Agentic AI is a plus.

  • Degree in Computer Science, Engineering, IT, or related fields is advantageous.

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.

  • A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation

  • 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

  • A world-class training program in financial services.

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.

Job Skills

Active Learning, Application Integrations, Detail-Oriented, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

Address:

10 FENCHURCH AVENUE: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:

2026-09-08

Application Deadline:

2026-11-11

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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.

Source details

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Pay

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Location & working pattern

London, United Kingdom

Must-have - Experience supporting scalable, high-performance data platforms in hybrid (Azure) environments, including data lifecycle management, RDBMS, NoSQL, data warehouses, and cloud infrastructure principles. - Hands-on experience with SQL/ETL tools, CI/CD, DevOps, monitoring/logging, data security/governance (e.g., Purview, Collibra), and version control (Git).
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