Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Data and Analytics Engineering Manager focusing on designing AI-driven data solutions for clients. Collaborating with teams to enhance data engineering processes and tools.
Responsibilities
- Hands-on experience with GitHub Copilot, Cursor, or similar AI coding assistants;
- Prompt engineering for code generation;
- AI-assisted code review & refactoring;
- AI-powered documentation generation
- Full-stack or backend development (Java, Python, .NET, JavaScript/TypeScript);
- API design & integration;
- Microservices architecture;
- CI/CD pipelines (Jenkins, GitLab, GitHub Actions);
- Version control (Git);
- Code review best practices;
- Optimize and troubleshoot machine learning pipelines to ensure high performance and reliability in production environments.
- Stay up to date with the latest industry trends and technologies in AI assisted development processes;
- Coaching & mentoring;
- Facilitation;
- Stakeholder communication;
- Change advocacy
Requirements
- Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- Proven experience as a data and product Engineering or Full Stack dev Engineer.
- Strong proficiency with different AI tools like Cursor, Windsurf, etc.
- Solid understanding of LLMs and best practices.
- Experience with Azure Cloud Platform (Microsoft Azure).
- Proficiency in Python and databricks.
- Familiarity with CI/CD tools and practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Experience with containerization technologies such as Docker and Kubernetes.
- Knowledge of data engineering and data pipeline tools (e.g., Apache Beam, Airflow).
Benefits
- Competitive compensation package
- Inclusive benefits
- Flexibility programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Analytics Engineer developing data environments using modern technologies for clients at Cuesta Partners. Collaborating on solutions and supporting data - driven business decisions.
Senior Analytics Engineer at Forward Financing designing and optimizing data architecture and models. Collaborating with cross - functional teams to deliver AI - ready data insights.
Lead Analytics Engineer leading technical initiatives in a financial technology company focused on AI - ready data insights. Collaborating across teams to enhance the data ecosystem while mentoring engineers.
Manager of Analytics Engineering at fintech company optimizing data infrastructure for trusted AI insights. Overseeing a team to build centralized data foundation and support various business functions.
Support Engineer responsible for operational support of data analytics and cloud technologies at Sun Life Financial. Collaborate with project teams to enhance and maintain data processes.
Data & Analytics Intern/Co - op at Kinaxis modernizing data ecosystems and developing data solutions. Gain hands - on experience in data integration, engineering, modeling, and business intelligence.
Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.
Data Analytics Engineer preparing enterprise data to be AI - ready at Canadian Bank Note Company. Designing semantic layers and enabling advanced analytics, self - service BI, and AI - powered decision - making.
Analytics Engineer responsible for designing, building, and maintaining scalable data pipelines. Contributing to AI - enriched data infrastructure for revenue - focused initiatives across various teams at Meltwater.