Business Intelligence Engineer
Build internal applications, automated workflows, and ETL pipelines that support Commure’s global operations. The role requires strong SQL, JavaScript, Python, full-stack development, database architecture, and CI/CD experience, with at least three years in software, analytics engineering, or technical operations.
About the job
Responsibilities
Application and Tooling Development
- Build robust, interactive internal applications, custom front-end workflows, and automations using platforms such as Retool, Vercel, Cursor, or custom web applications.
- Use JavaScript and Python to develop internal tools and workflows.
Data Pipeline Architecture
- Design, write, and optimize complex SQL queries and data models to extract, manipulate, and aggregate data.
- Architect and maintain reliable ETL pipelines supporting operational scaling and AI/LLM integrations.
UI/UX Design and Development
- Design intuitive, reliable UI/UX workflows that reduce manual effort for non-technical operators.
- Simplify operational complexity without sacrificing capability.
Technical Governance and CI/CD
- Implement and follow version-control and deployment pipelines, including Git, GitHub pull requests, and development-to-release environments.
- Ensure data products and front-end tools meet engineering quality-assurance standards.
Systems Implementation
- Independently manage implementation of system processes.
- Enable automated workflows and cron jobs.
- Set up centralized, scalable operational databases and applications.
Database and Schema Design
- Apply normalization, indexing, and key constraints when building datasets or proposing schema changes.
- Optimize data-warehouse performance.
Process Automation
- Develop automated scripts, webhooks, and API integrations that connect disparate data sources.
- Streamline cross-functional business operations without manual oversight.
Cross-Functional Strategy
- Act as a technical liaison between operations, product, and core data engineering teams.
- Consolidate ambient data streams and enforce system reliability.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field.
- 3+ years of professional experience in software engineering with an analytics focus, analytics engineering, or technical operations.
- Advanced proficiency in SQL and relational database architecture.
- Strong programming skills in JavaScript and Python.
- Experience building full-stack web solutions, APIs, or internal tooling.
- Hands-on experience with Git and CI/CD workflows.
- Experience moving beyond basic dashboards to build functional, data-driven applications or automated infrastructure.
- Systems-level thinking and a strong commitment to data accuracy, clean code, and technical documentation.
- Excellent communication skills for bridging technical execution and business strategy.
- A proactive approach to resolving operational bottlenecks and standardizing best practices.
- Ability to translate ambiguous operational requests into precise technical execution in a fast-paced environment.
Nice to Have
- Experience with internal tool builders such as Retool.
- Experience with modern deployment platforms such as Vercel.
Work Details
- Night shift: 10:00 pm–7:00 am BST.
- Monday to Friday.
Skills
SQL, JavaScript, Python, Git, CI/CD, Retool, Vercel, ETL, APIs, Relational Databases, Data Warehousing, Webhooks, Cron, Llm Integrations
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