Senior BI Engineer – Fixed Term Contract

Cint

Lead BI Engineer at Cint designing and developing data visualization ecosystems and transforming data into actionable insights. Collaborate with stakeholders to maintain high data quality and scalable reporting solutions.

Posted 4/16/2026full-timeRemote • 🇧🇮 BurundiSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLSQL

About the role

Key responsibilities & impact

Lead the design and development of our data visualization ecosystem and analytical frameworks.
Work closely with stakeholders across the organization to transform raw data into actionable insights, ensuring high data quality and scalable reporting solutions.
Design, build, and maintain scalable automated data pipelines (ETL/ELT) and data models that support complex analytical requirements.
Develop sophisticated dashboards and reporting tools that provide "at-a-glance" insights for executive leadership and deep-dive capabilities for analysts.
Establish and enforce best practices for data documentation, metadata management, and data quality assurance to ensure "one source of the truth."
Audit and optimize SQL queries and dashboard performance to ensure low-latency access to large datasets.
Act as a technical consultant to non-technical departments, helping them define Key Performance Indicators (KPIs) and translate business questions into technical requirements.
Lead code reviews and mentor junior engineers on data modeling techniques and visualization best practices.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, or a related quantitative field.
5+ years of experience in BI engineering, data engineering, or a highly technical analytics role.
Practical experience working with data from multiple, disparate systems and successfully aligning them into unified, high-integrity data models within a modern data warehouse.
Deep practical experience in data warehousing principles, proven experience working with cloud data warehouses such as Databricks (preferred), Snowflake or BigQuery.
Strong understanding of dimensional modeling (Star/Snowflake schemas) and modern data stack tools (e.g., dbt).
Expert-level SQL skills (complex joins, window functions, and performance tuning)
Deep expertise in at least one enterprise BI platform Omni and/or Power BI.
Proven analytical and creative design skills, with the ability to translate complex problem-solving and system designs into clear narratives for audiences ranging from entry-level employees to senior leadership.
Ability to thrive in a team-oriented, fast-paced environment while managing multiple concurrent projects and shifting priorities seamlessly as business needs evolve.
Experience with version control systems (Git) and CI/CD workflows (Nice-to-Have).
Experience working in an Agile/Scrum environment (Nice-to-Have).
Experience working in a global team (Nice-to-Have).

Benefits

Comp & perks

Flexible work arrangements

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data visualizationETLELTdata modelingSQLdimensional modelingcloud data warehousesdata warehousingBI engineeringanalytical frameworks

Soft Skills

problem-solvingcommunicationmentoringcollaborationadaptabilityanalytical skillscreative designproject managementstakeholder engagementteam-oriented