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Iris Software Inc.

Senior Data Engineer

London
Posted about 21 hours ago
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Senior Data Engineer Opportunity

Work location: London, UK (Hybrid Onsite – 3 days a week office)

Job Description

A Senior Data Engineer with strong Databricks and Python experience to develop scalable data pipelines and analytics solutions supporting CCAR and regulatory reporting.

Role Description

  • Support data engineering and integration initiatives, working with regional and global teams on financial markets data flows.
  • Design, develop, and deploy cloud-based data solutions for Risk, Regulatory, Finance, and Compliance.
  • Partner with business and product teams to translate requirements and process gaps into technology solutions.
  • Collaborate with architects, DBAs, cybersecurity, and other IT teams on application design and integration.
  • Participate in development planning, prioritization, and technical discussions.

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.

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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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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

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Must Have Skills

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  • Databricks, Python, and SQL.
  • Financial services experience, preferably capital markets.
  • Understanding of data pipelines, ETL/ELT, and end-to-end data flows.
  • Experience building large-scale batch and real-time data pipelines with data processing frameworks on any cloud (Azure or AWS platform).
  • Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
  • Good problem-solving and communication skills.
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Location

London, England, United Kingdom

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