Sr. AI & Data Engineer
- Location
- Quito, Pichincha
- Employment Type
- Industry
- Job Family
- Technology
- Career Level
- Contract
MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
SUMMARY
North Highland is seeking a Senior Data & AI Engineer at the Senior Consultant level. These roles will develop, test, deploy, and support reliable data transformations and analytics-ready datasets using advanced SQL and dbt. The engineers will work with technical and business stakeholders to translate requirements into maintainable data models, improve data quality, and support dependable delivery in a client-facing environment.
YOU WILL:
IDEALLY, WE'D LIKE:
Applicants must be authorized to work in Ecuador, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.
As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last.
SUMMARY
North Highland is seeking a Senior Data & AI Engineer at the Senior Consultant level. These roles will develop, test, deploy, and support reliable data transformations and analytics-ready datasets using advanced SQL and dbt. The engineers will work with technical and business stakeholders to translate requirements into maintainable data models, improve data quality, and support dependable delivery in a client-facing environment.
YOU WILL:
- Design, develop, test, and maintain SQL transformations and dbt models.
- Translate business and analytical requirements into clear source-to-target mappings and scalable data models.
- Create reusable dbt components, tests, documentation, and lineage that improve reliability and maintainability.
- Investigate data-quality, reconciliation, and performance issues; identify root causes and implement durable corrections.
- Participate in code reviews, version-control workflows, release activities, and production support.
- Partner with analysts, engineers, and client stakeholders to communicate status, risks, dependencies, and technical decisions.
- Document data definitions, transformation logic, operating procedures, and support considerations.
IDEALLY, WE'D LIKE:
- Strong SQL development skills, including complex joins, common table expressions, window functions, debugging, and query optimization.
- Hands-on dbt experience, including models, sources, tests, macros, documentation, and dependency management.
- Experience with dimensional or analytical data modeling and production data pipelines.
- Experience using Git or equivalent version control in a collaborative delivery environment.
- Ability to analyze ambiguous data problems, work independently, and take ownership through resolution.
- Strong written and verbal communication skills and the ability to work effectively with distributed teams and client stakeholders.
Applicants must be authorized to work in Ecuador, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.
North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.
Reference: 50476
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