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Trayport

BI Engineer

London
Posted 8 days ago
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Business Intelligence Engineer

We are seeking a highly technical Business Intelligence Engineer to join our growing BI team. Sitting at the crucial intersection of Data Engineering and Business Intelligence, you will be the technical cornerstone of our BI function. You will architect robust data solutions, automate data ingestion, quality and governance checks, build user-friendly dashboards, and promote a culture of data-driven decision-making across the organization.

You will be a self-starter, taking the initiative to understand the whole data lifecycle, Trayport’s products and business to transform complex data into actionable insights.

Key Responsibilities

  • Architecture & Engineering: Design, build, and maintain a robust data warehouse. Oversee the ingestion of varied and complex datasets at scale.
  • Schema Design: Collaborate closely with Data Engineers and BI Analysts to design, implement, and optimize data warehouse schemas.
  • Dashboard & Visualisation Design: Architect, build, and maintain user-friendly dashboards and complex data visualisations that effectively surface critical business metrics and actionable insights for stakeholders.
  • Data Quality & Automation: Champion data quality across the organization. Implement data automation pipelines to ensure accuracy, reliability, and timeliness of data.
  • Data Governance & Management: Drive improvements in data governance, ensuring best-in-class data management practices are upheld across the business.
  • Stakeholder Collaboration: Act as a strategic partner to the business. Communicate complex technical concepts clearly to all levels of the organization, including the C-suite, to promote data-driven decisions.
  • Mentorship & Leadership: Mentor other BI Analysts, actively upskilling the team in technical competencies and best practices.

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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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.

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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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Required Skills & Qualifications

  • Expert SQL: Master-level proficiency in writing, optimizing, and troubleshooting complex SQL queries.
  • Programming Skills: Strong programming skills in Python (or a similar) for data manipulation and automation.
  • Data Warehousing: Deep knowledge of modern database and data warehouse design principles and architectures.
  • BI Tooling: Extensive experience with industry-leading BI tools such as Tableau or similar.
  • Version Control: Solid experience using source control, such as Git, for managing code and collaborating with technical teams.
  • Exceptional Communication: Outstanding verbal and written communication skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadership.

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Desirable Skills (Nice-to-Haves)

  • Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines.
  • Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift).
  • Additional Programming: Knowledge of C# and experience working within a.NET environment.
  • AI Tooling: Experiencing utilising AI-assisted development tools, such as Github Copilot, or integrating AI capabilities into data workflows with a clear understanding of their strengths and limitations.

Trayport is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.

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Skills

SQL
Python
Data Warehousing
BI Tools
Data Quality
Data Governance
Dashboard Design
Data Visualization
Data Ingestion
ETL
Cloud Data Platforms
Git
Communication
Mentorship
Leadership

Location

London, England, United Kingdom

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