Senior Data Engineer/ Data Architect

Why Keyrus, Why NowKeyrus 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 aKeyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Role DetailsJob

location:
Madrid, Spain (Remote model)Contract type: Employee / Contractor B2BTarget start date: ASAPWorking hours: Full-time (40h/week)Compensation: €50,000
- €60,000 gross per year OR €350
- €380 daily rateWhat You'll ArchitectAs 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.
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 AreYou 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 & ExperienceRelevant 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 SkillsStrong 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 HaveOfficial 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