Why Keyrus, Why Now!
Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every client challenge you solve, every opportunity you shape, and every strategic partnership you help build.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and executive decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
🚀 What You'll Architect
As a Quality Engineer within Keyrus's Enterprise Data Platform practice, you will architect the trust behind the data — building the validation frameworks, testing automation, and quality controls that ensure enterprise data products are accurate, reliable, and ready to drive business decisions. You will operate across ingestion, transformation, and processing layers of complex cloud analytics environments, working shoulder-to-shoulder with data engineers and architects to embed quality into the core of every pipeline, not as an afterthought but as an engineered discipline.
You will:
Validate data across ingestion, transformation, integration, and processing workflows to ensure quality, accuracy, and consistency
Perform source-to-target validation and reconciliation across multiple systems and data platforms
Verify business rules, data mappings, transformations, and data lineage throughout the data lifecycle
Ensure compliance with key data quality dimensions, including completeness, accuracy, consistency, timeliness, validity, uniqueness, and referential integrity
Design, develop, execute, and maintain automated and manual testing frameworks for data validation
Implement reusable quality controls and automated testing processes integrated into CI/CD pipelines
Create and maintain test cases, validation rules, test scenarios, and quality documentation
Continuously identify opportunities to automate manual testing and improve testing efficiency
Support enterprise data platforms built on modern cloud technologies and large-scale data ecosystems
Validate data pipelines, orchestration workflows, scheduling processes, and integration components
Monitor pipeline execution and quality controls to proactively identify and resolve issues
Collaborate with engineering teams to ensure the successful deployment of new data products and platform capabilities
Investigate data discrepancies, pipeline failures, and quality issues; perform root cause analysis
Manage defects through their full lifecycle, from identification and documentation through validation and closure
Conduct regression testing to ensure new changes do not negatively impact existing functionality
Participate in User Acceptance Testing (UAT) activities in partnership with business and technical teams
Support release readiness reviews, quality gate assessments, and post-release validation
Contribute to the establishment and continuous improvement of quality standards, testing methodologies, and best practices
🧠 Who You Are
You see data quality as the foundation of trust, not a checkbox at the end of the pipeline
You naturally connect technical validation with business impact, understanding what "accurate" really means for decision-makers
You are comfortable engaging engineers, architects, and business stakeholders to align on data standards and expectations
You thrive in environments where precision, curiosity, and automation-minded thinking create competitive advantage
You balance rigorous testing discipline with a genuine interest in improving how teams deliver quality at scale
You enjoy working alongside data engineers and architects to shape reliable, production-grade data products
You bring an entrepreneurial mindset and proactively surface quality risks rather than waiting for them to surface downstream
🛠️ What You Bring
Qualifications / Certifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience
4+ years of experience in Data Quality Engineering, Data Testing, Quality Assurance, or similar roles supporting enterprise data platforms
Technical Skills
Strong SQL skills with experience validating, reconciling, and analyzing large and complex datasets
Hands-on experience working with modern cloud-based data platforms and analytics ecosystems
Strong understanding of ETL/ELT processes, data modeling concepts, dimensional modeling, and data architecture principles
Experience developing and executing automated data validation and testing frameworks
Familiarity with CI/CD practices and integrating quality controls into software and data delivery pipelines
Experience documenting test cases, validation rules, defects, and quality processes using collaboration and project management tools
Excellent analytical, troubleshooting, and problem-solving skills
Strong written and verbal communication skills, with the ability to explain technical issues to both technical and business audiences
⭐ Nice-to-haves
Experience supporting enterprise cloud migration, data modernization, or data warehouse transformation initiatives
Strong experience with Google Cloud Platform (GCP), including technologies such as BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage
Knowledge of data observability, monitoring, and data governance concepts
Working proficiency in Python or other scripting languages used for test automation and data validation
Experience working within Agile delivery environments and large-scale data transformation programs
Experience supporting analytics, customer insights, marketing, or business intelligence platforms
🎯 What Makes You Successful
Exceptional attention to detail and an unwavering commitment to data accuracy
A proactive and collaborative approach to solving complex, cross-functional data challenges
Strong communication and stakeholder management skills, with advanced English proficiency (written and spoken)
The ability to work effectively in fast-paced environments with multiple concurrent initiatives
A continuous improvement mindset focused on automation, efficiency, and delivery excellence
Availability to collaborate with distributed teams operating in Eastern Time (EST)
Role Details
Location: Colombia
Contract: Full-time, indefinite term
Work Model: 100% Remote
Level: Mid Level to Semi senior
Rewards - What We Offer at Keyrus
100% remote work
International and multicultural projects
Opportunities to work with leading technologies in the Digital Commerce ecosystem
Access to training programs and continuous professional development
Professional growth opportunities and internal mobility
A culture built on collaboration, innovation, and continuous learning
🌍 What We Stand For
Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.
Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.
Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.
Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.
ABOUT KEYRUS
At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence.
Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:
Intelligence Foundations
Human in Command governance
Performance Steering
To create intelligent environments where technology amplifies human capabilities and performance compounds over time.
With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.
AI does not transform businesses. Architected intelligence does.
Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).
For more information: www.keyrus.com
