Lead Data Engineer

Why Keyrus, Why Now
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 system you architect, every client challenge you solve, and every deployment that compounds on the last.
Role Details
Job location: Portugal or Spain (Remote model)
Contract type: Employee/ Contractor B2B
Target start date: ASAP
Working hours: Full-time (40h/week)
Compensation: 45k - 55k per year or 250€ - 300€ daily rate
What You'll Architect
As a Lead Data Engineer (Dataiku), you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.
This role is both technical and consultative - perfect for someone who can combine hands-on development, solution design, and leadership of client delivery. We're looking for professionals who think like architects and act like builders.
Design scalable Dataiku DSS architectures, including projects, zones, Data Collections and Shared Projects.
Integrate Dataiku solutions into complex enterprise IT environments.
Establish data quality controls, monitoring, alerting and production-readiness standards.
Promote robust engineering practices across development, testing and production environments.
Establish coding standards, architecture guidelines, documentation practices and code review processes.
Drive Dataiku governance, including naming conventions, connection management, security and group-based permissions.
Who You Are
You are curious, analytical, and motivated by solving meaningful business challenges.
You enjoy turning complexity into clarity and action.
You balance technical thinking with business understanding.
You are comfortable working in collaborative and international environments.
You take ownership of your work and follow through on commitments.
You value continuous learning and are motivated by long-term professional growth.
You communicate clearly and effectively with a variety of stakeholders.
What You Bring
Qualifications & Experience
Master's degree in Engineering, Computer Science, Data, Applied Mathematics or a related discipline.
At least 7 years of professional experience in Data Engineering.
At least 3 years of hands-on Dataiku DSS experience in production environments.
Proven experience as a Technical Lead or in a comparable technical leadership position.
Experience working with enterprise data platforms and production data environments.
Fluent in French. Professional working proficiency in English.
Technical & Professional Skills
Dataiku DSS
Strong experience designing and developing complex Dataiku flows.
Experience with visual, SQL and Python recipes, scenarios, bundles and Automation Nodes.
Understanding of Dataiku deployment and production architectures.
Programming & Data Engineering
Advanced SQL skills.
Strong Python skills, including experience with pandas and the Dataiku Python API.
Understanding of data modelling, data quality and data lineage.
Cloud Data Platforms
Hands-on experience with at least one cloud data warehouse or processing platform: Snowflake, Databricks or BigQuery.
Experience with at least one cloud ecosystem: AWS, Azure or GCP.
DevOps & Industrialisation
Experience with Git and CI/CD practices.
Familiarity with development, UAT and production environments.
Understanding of automated testing, monitoring and observability.
Technical Leadership & Consulting
Ability to lead and mentor Data Engineers while remaining technically hands-on.
Strong communication skills and confidence interacting with technical and business stakeholders.
A consulting mindset, with the ability to challenge requirements and make sound technical recommendations.
Nice to Have
Dataiku DSS administration experience.
Experience with Dataiku API Nodes, custom plugins, Govern or LLM Mesh.
Dataiku certifications: Core Designer and Advanced Designer; ML Practitioner or Developer certifications are an advantage.
PySpark or Scala experience.
Kubernetes experience, including EKS, AKS or GKE.
Terraform and Infrastructure as Code experience.
Familiarity with Collibra, Informatica CDGC or dbt.
What Makes You Successful
You focus on outcomes rather than activity.
You approach challenges with curiosity and pragmatism.
You communicate complex concepts in a clear and accessible way.
You