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 system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision‑making at scale, across industries and geographies. 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.

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.

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.

📌 Lead Data Engineer (Alforja)
🏢 Keyrus
📍 Alforja