At a Glance
- Tasks: Design and build data solutions, dashboards, and ensure data quality for impactful insights.
- Company: Join a dynamic team at Trayport, a leader in Business Intelligence.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Mentorship opportunities and a commitment to diversity and respect in the workplace.
- Why this job: Be the technical backbone of BI and drive data-driven decisions across the organisation.
- Qualifications: Expert SQL skills, programming knowledge in Python, and experience with BI tools.
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 ResponsibilitiesArchitecture & 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 & QualificationsExpert 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 leadershipDesirable 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.SummaryLocation: London - 2 Gresham StreetType: Full time
BI Engineer employer: Trayport
Trayport is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about automation and quality assurance. With a strong focus on employee growth, you will have the opportunity to mentor peers and leverage cutting-edge AI tools in a dynamic environment, all while contributing to meaningful projects that enhance software quality. Located in a vibrant area, Trayport offers a supportive atmosphere where your contributions are valued and recognised.
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We think this is how you could land BI Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace BI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trayport, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trayport. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trayport
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trayport!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
