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 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: Barcelona, Spain (Hybrid)Contract type: Employee / Contractor B2BðTarget start date: ASAPWorking hours: Full-time Compensation: 60k to 80k gross per year / 350 - 450 daily rate B2B What You'll Architect

As a Senior Data Platform Engineer & Cloud Architect, 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 platform engineering, cloud architecture, automation, and technical leadership.

We’re looking for professionals who think like architects and act like builders, translating platform strategy into scalable, secure and high-performing AWS data platform solutions.

Key Responsibilities

Platform Architecture, Engineering & Modernisation

Design, evolve and operate enterprise-scale AWS data platforms supporting multiple teams, tenants and data domains

Define platform architecture, standards, guardrails and reusable implementation patterns

Provide architectural leadership for platform initiatives, workload onboarding and the adoption of modern data and Lakehouse technologies

Deliver scalable, secure, resilient and cost-efficient platform services while evaluating emerging technologies and future platform capabilities

Automation, Dev

Ops & Operational Excellence

Design and maintain CI/CD pipelines using Git

Hub Actions, Terraform and Infrastructure-as-Code practices

Develop automation frameworks using Ansible and scripting technologies to improve efficiency and reduce manual intervention

Drive platform reliability, observability, governance and operational excellence through automation

Lead incident resolution, technical troubleshooting, KPI definition and Fin





Ops initiatives to optimise platform performance and cloud costs

Data Platform Services & Analytics

Lead the evolution of Airflow/MWAA platform services and workflow orchestration capabilities

Support AWS-based data workloads leveraging Redshift and modern data processing frameworks

Enable scalable data sharing, platform connectivity and data consumption across the organisation

Ensure governance, metadata management, security and compliance while supporting the adoption of technologies such as dbt, Apache Iceberg and Apache Spark

Technical Leadership & Collaboration

Mentor and coach engineering teams on platform engineering best practices

Collaborate with Architecture, Security, Governance, Delivery and Business stakeholders

Produce technical documentation, standards and reference architectures

Lead POCs and platform modernisation initiatives, bridging architectural vision with hands-on engineering delivery 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.

You think in scalable, reusable and platform-oriented solutions.

You combine strategic architectural thinking with hands-on engineering execution.ð ️ What You Bring

Qualifications & Experience

Relevant academic background or equivalent professional experience.8+ years of experience in Data Engineering, Cloud Engineering, Platform Engineering or Dev

Ops.5+ years of hands-on experience with AWS cloud technologies.3+ years leading technical implementation designing, evolving or operating enterprise-scale cloud data working in Agile environments using tools such as Jira and Confluence.

Professional proficiency in English.

Technical & Professional Skills

Strong expertise in AWS Platform Architecture and Data Platform Design.

Experience with MWAA/Airflow, Terraform and Python.

Knowledge of ECS/Fargate and Amazon Redshift.

Experience implementing CI/CD pipelines using Git

Hub Actions.

Automation development experience using Ansible and scripting frameworks.

Strong understanding of data warehouse and data lake concepts.

Advanced SQL proficiency.

Experience with metadata management and platform governance.

Strong analytical and problem-solving capabilities.

Ability to apply technical expertise to solve real-world business challenges.

Nice to Have





Experience with dbt Core, Cloud, Semantic Layer or Mesh concepts.

Knowledge of Apache Iceberg and Apache Spark.

Exposure to Fin

Ops practices and cloud cost with AWS in consulting or client-facing environments.

Exposure to international projects and multicultural teams.AWS or related cloud certifications.

What Makes You Successful

You focus on outcomes rather than activity.

You approach challenges with curiosity and 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 continuously look for opportunities to improve systems, processes, and results.

What We Offer at Keyrus Spain

Competitive salary, paid in 14 instalments (option for 12 from day one).

Annual performance bonus.

Meal allowance (Restaurant Tickets): 1,800/year net, distributed over 11 monthly reloads

Versátil retribution plan: transport & daycare tickets

Private medical insurance with Sanitas (no copays, dental included)22 days of annual leave, increasing every 3 years (up to 26 days)14 public holidays (Madrid calendar)December 24th and 31st are considered company holidays when they fall on working days

Continuous learning via KLX – Keyrus Learning ExperienceA 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.

📌 Senior Data Platform Engineer & AWS Cloud Architect (España)
🏢 Keyrus
📍 España