Trayport
BIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“BI Engineer at Trayport. Skills: SQL, Python, Tableau, Data warehousing, Dashboard design, Data quality, Data automation. Design, build, and maintain a robust data warehouse. Oversee the ingestion of varied and complex datasets at scale”
What You'll Achieve.
Surface critical business metrics and actionable insights for stakeholders; Promote a culture of data-driven decision-making across the organization; Ensure accuracy, reliability, and timeliness of data; Uphold best-in-class data management practices across the business; Promote data-driven decisions
Industry & Context.
Transform complex data into actionable insights
What They're Looking For.
Must Have
Expert SQL, Programming skills in Python (or a similar) for data manipulation and automation, Deep knowledge of modern database and data warehouse design principles and architectures, Extensive experience with industry-leading BI tools such as Tableau or similar, Solid experience using source control, such as Git, for managing code and collaborating with technical teams, Outstanding verbal and written communication skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadership
Nice to Have
Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines, Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e. g. , BigQuery, Redshift), Knowledge of C# and experience working within a. NET environment, 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
What You'll Do.
and maintain a robust data warehouse
Oversee the ingestion of varied and complex datasets at scale
and optimize data warehouse schemas
and maintain user-friendly dashboards and complex data visualisations
Implement data automation pipelines to ensure accuracy
and timeliness of data
Drive improvements in data governance
ensuring best-in-class data management practices are upheld across the business
How You'll Work.
Team & Collaboration
Collaborate closely with Data Engineers and BI Analysts to design, implement, and optimize data warehouse schemas; 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; Mentor other BI Analysts, actively upskilling the team in technical competencies and best practices; Collaborating with technical teams (using Git)
Communication Scope
Exceptional Communication; Outstanding verbal and written communication skills; Proven ability to translate highly technical concepts for both technical and non-technical leadership
Full Job Description
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. **Required Skills & Qualifications** * Expert SQL: Master-level proficiency in writing, optimizing, and troubleshooting complex SQL queries. * Programming Skills: Strong programming skills in Python (o
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