Senior BI engineer

Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Core Responsibilities Pipeline & Data Modeling: Design, build, and maintain scalable automated data pipelines (ETL/ELT) and data models that support complex analytical requirements. Strategic Visualization: Develop sophisticated dashboards and reporting tools that provide "at-a-glance" insights for executive leadership and deep-dive capabilities for analysts. Data Governance: Establish and enforce best practices for data documentation, metadata management, and data quality assurance to ensure "one source of the truth." Performance Optimization: Audit and optimize SQL queries and dashboard performance to ensure low-latency access to large datasets. Stakeholder Partnership: Act as a technical consultant to non-technical departments, helping them define Key Performance Indicators (KPIs) and translate business questions into technical requirements. Mentorship: Lead code reviews and mentor junior engineers on data modeling techniques and visualization best practices. Required Qualifications Background Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, or a related quantitative field. Experience: 5+ years of experience in BI engineering, data engineering, or a highly technical analytics role. Data Architecture Expertise Data Integration & Architecture: Practical experience working with data from multiple, disparate systems and successfully aligning them into unified, high-integrity data models within a modern dat