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 certifi

📌 Lead Data Engineer (Alcobendas)
🏢 Keyrus
📍 Alcobendas