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Royal Bank of Canada

Director, Market Data Engineer - COO Group

Bedford
Posted 1 day ago
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Job Description

What is the opportunity?

The Market Data Engineer is responsible for designing, building, and supporting the enterprise market data platform that powers trading, pricing, risk, finance, regulatory reporting, and AI initiatives. This role develops scalable, high-performance data pipelines and APIs to deliver accurate, real-time, and end-of-day market data across all Capital Markets businesses.

What will you do?

  • Design and develop scalable market data ingestion, transformation, and distribution platforms.
  • Build real-time and batch pipelines for exchange, vendor, and internal market data feeds.
  • Integrate market data from Bloomberg, LSEG/Refinitiv, ICE, FactSet, S&P Global, MSCI, and exchange sources.
  • Develop APIs and data services for pricing, yield curves, volatility surfaces, benchmarks, and indices.
  • Build cloud-native data solutions using Databricks, Snowflake, Spark, Kafka, and Python.
  • Implement automated monitoring, reconciliation, and data quality controls.
  • Optimize latency, scalability, and resiliency of market data platforms.
  • Support onboarding of new trading desks, products, and asset classes.
  • Implement metadata, lineage, and catalog integration for market data assets.
  • Partner with Trading, Risk, Finance, Quantitative Research, and Technology teams to deliver strategic market data capabilities.
  • Support migration from legacy market data platforms to modern cloud architecture.
  • Implement CI/CD pipelines, DevSecOps practices, and automated testing.
  • Resolve production incidents and perform root cause analysis.
  • Ensure platform compliance with enterprise security and governance standards.
  • Drive platform innovation using AI, automation, and cloud technologies.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What do you need to succeed?

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
  • 7–12 years of experience in data engineering within Capital Markets.
  • Strong expertise in Python, SQL, Spark, Kafka, Databricks, Snowflake, and cloud platforms.
  • Experience with Bloomberg, ICE, LSEG/Refinitiv, or other market data providers.
  • Knowledge of Equities, Fixed Income, FX, Commodities, and Derivatives.
  • Experience building high-volume, low-latency distributed systems.
  • Familiarity with data governance, metadata, and lineage solutions.

Must-Have Skills

  • Strong engineering background in Capital Markets market data platforms.
  • Expertise in distributed data processing and cloud-native technologies.

Job Skills

  • Adaptability
  • Critical Thinking
  • Customer Service
  • Detail-Oriented
  • Financial Engineering
  • Financial Statement Analysis
  • Investments Analysis
  • Personal Development
  • Personal Initiative
  • Teamwork

Additional Job Details

  • Address: RBC CENTRE, 155 WELLINGTON ST W: TORONTO
  • City: Toronto
  • Country: Canada
  • Work hours/week: 37.5
  • Employment Type: Full time
  • Platform: CAPITAL MARKETS
  • Job Type: Regular
  • Pay Type: Salaried
  • Posted Date: 2026-08-05
  • Application Deadline: 2026-09-15

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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.

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Skills

Python
SQL
Spark
Kafka
Databricks
Snowflake
Cloud platforms
Market data
Capital markets
Data engineering
API development
Distributed systems
Data governance
CI/CD
DevSecOps
Financial engineering

Location

Toronto, Ontario, Canada

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