Senior Data Engineer/ Data Architect (GCP)

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: Madrid, Spain (Remote model)
Contract type: Employee / Contractor B2B
Target start date: ASAP
⏰ Working hours: Full-time (40h/week)
Compensation: €50,000 - €60,000 gross per year OR €350 - €380 daily rate

What You'll Architect

As a Senior Data Engineer / Data Architect (Google Cloud Platform), you will help organisations transform complexity into measurable outcomes by combining data engineering, cloud architecture, automation, and business understanding.

This role combines hands-on data engineering, solution architecture, and stakeholder engagement. You'll be responsible for designing scalable data platforms, building robust pipelines, supporting production environments, and partnering directly with business teams to translate requirements into effective data solutions.

• Design and develop data pipelines on Google Cloud Platform (GCP) using Dataform, Cloud Composer (Airflow), Cloud Run, and Cloud Functions.

• Define and implement data models and advanced transformations in BigQuery, ensuring optimal performance, scalability, and cost efficiency.

• Develop Python-based integrations to ingest, process, and load data from Cloud Storage and other sources.

• Design end-to-end data solutions, considering architecture, maintainability, reliability, and production operations.

• Manage production deployments using Git, Bitbucket, and Google Cloud Source Repositories, following robust branching and release strategies.

• Plan and track project deliverables, deployments, and priorities through Asana.

• Act as the primary contact for business stakeholders, gathering requirements and translating them into practical data solutions.

• Investigate, troubleshoot, and resolve issues impacting production data processes, ensuring service continuity and operational excellence.

Who You Are

• You are passionate about building scalable cloud data platforms and solving complex data challenges.

• You enjoy combining technical architecture with practical business problem-solving.

• You can confidently engage with both business stakeholders and technical teams.

• You are proactive, self-sufficient, and comfortable managing priorities in a remote environment.

• You have an architect's mindset, balancing performance, maintainability, and business value.

• You are detail-oriented and committed to delivering reliable, production-ready solutions.

• You enjoy mentoring others and contributing to technical best practices.

• You thrive in collaborative and international environments.

️ What You Bring

Qualifications & Experience

• Relevant academic background in Computer Science, Engineering, Information Systems, or equivalent professional experience.

• Strong experience as a Senior Data Engineer or Data Architect within Google Cloud Platform environments.

• Proven experience delivering data solutions from requirements gathering through production deployment.

• Experience working in multidisciplinary teams and collaborating with both technical and business stakeholders.

• Professional proficiency in English.

Technical & Professional Skills

• Strong expertise in Google Cloud Platform (GCP).

• Advanced knowledge of BigQuery, including data modelling, complex SQL development, query optimisation, performance tuning, and cost control.

• Hands-on experience with Dataform and Cloud Composer (Airflow) for data pipeline orchestration.

• Experience with Cloud Run and Cloud Functions.

• Strong development skills using Python and SQL.

• Experience building ingestion and processing workflows using Cloud Storage.

• Experience with Git version control, Bitbucket, and branching strategies.

• Strong analytical and troubleshooting capabilities for diagnosing and resolving production issues.

• Ability to translate business requirements into scalable technical solutions.

• Experience planning deliveries and coordinating work through Asana.

Nice to Have

• Official Google Cloud Certification related to Data Engineering or Data Architecture.

• Previous experience in consulting or highly client-facing environments.

• Experience working on international projects and multicultural teams.

• Based in Madrid.

• Exposure to modern data architecture and cloud-native design patterns.

⭐ What Makes You Successful

• You combine strong data engineering expertise with strategic architectural thinking.

• You design solutions with scalability, performance, and maintainability in mind.

• You are comfortable owning solutions from initial requirements through production support.

• You communicate technical concepts clearly to both technical and non-technical audiences.

• You proactively identify and resolve issues before they impact business operations.

• You balance autonomy with collaboration and stakeholder engagement.

• You continuously seek opportunities to optimise performance, costs, and data quality.

• You focus on delivering business outcomes through reliable, well-designed data solutions.

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

• Flexible 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 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.