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.

️ 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 are comfortable navigating ambiguity and finding practical solutions.
You contribute to collective intelligence by sharing knowledge and supporting others.
You combine autonomy with collaboration.
You continuously look for opportunities to improve systems, processes, and results.

What We Offer at Keyrus Portugal

Competitive salary aligned with your experience and the data market
Meal allowance: €10.20/day
Flexible benefits plan
Private medical insurance
22 days of annual leave, increasing every 3 years (up to 25 days)
Continuous learning via KLX – Keyrus Learning Experience
A collaborative, international, and human-centred work environment

How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

Bottom of the range
You meet the core requirements and will need ramp-up time and support.
Middle of the range
You are fully autonomous from Day 1 and deliver consistently.
Top of the range
You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context , and are discussed transparently during the process.

Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews . AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information , the use of AI tools by candidates during the recruitment process is strictly prohibited .

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.

Lead Data Engineer (Dataiku)

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