> Markdown version of [/jobs/ext/3112187-data-platform-senior-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3112187-data-platform-senior-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Senior Platform Engineer - **Company:** Hbx Group - **Location:** Spain - **Contract:** Permanent contract - **Skills:** LTE (Telecommunication), Artificial Intelligence, Data Analysis, Big Data, Information Systems, Data as a Services, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Software Engineering, Data Streaming, Tableau (Software), Data Ingestion, Snowflake, AI Platforms, Kubernetes, Information Technology, Data Management, Machine Learning Operations - **Published:** September 27, 2026 - **Apply:** https://www.buscojobs.com.es/data-platform-senior-platform-engineer-en-espana-ID-372613026 ## About the Role ownership of all Data Platform services, ensuring agreed service levels, platform availability, reliability and performance.Establish and monitor service KPIs, SLAs and operational metrics across all platform componentsRequired skillsExceptional leadership skills with proven ability to lead multiple engineering teams through Team Leads and senior technical contributors.Strong command of English, both written and verbal.Rewards - Talent Acquisition |Must haveDeep expertise designing, operating and evolving enterprise-scale Data Platforms supporting Analytics, Machine Learning and AI workloads.Strong understanding of modern Data Architecture patterns including Data Warehousing, Lakehouse, Data Mesh and Data Product concepts.Strong experience with Snowflake architecture, performance optimization, security and governance.Expert knowledge on modern ELT frameworksExtensive experience with AWS cloud services and cloud-native data architectures.Strong knowledge of data integration patterns including batch, streaming, CDC and event-driven architectures.Experience supporting enterprise BI platforms such as Tableau and ensuring data product scalability and performance.Solid understanding of machine learning lifecycle requirements, MLOps concepts and AI platform enablement.Strong software engineering background with expertise in Python and SQL.Deep knowledge of observability, monitoring, alerting and platform reliability engineering practices.Experience implementing enterprise-grade access controls, auditing and lineage capabilities.Experience with Great Expectations, Soda, Monte Carlo or similar data quality frameworks.Knowledge of Kubernetes and container orchestration technologies.Experience with FinOps and cloud cost optimization strategies.Experience leading large-scale Data & AI transformation initiatives.Exposure to global and distributed engineering teams.Experience & Qualifications10+ years of experience in Data Engineering, Platform Engineering or related technology leadership roles.Proven experience owning and operating business-critical data platforms at scale.Strong track record of delivering large-scale Data, Analytics and AI programs.Experience managing relationships with senior business and technology stakeholders.Bachelor's or master's degree in computer science, Engineering, Information Systems or a related field.Strong command of English with the ability to communicate effectively with both technical and non-technical audiences. ## Description About UsHBX Group is a leading B2B ecosystem player in the TravelTech space, connecting and empowering businesses in the ever-evolving world of travel.Our cloud-based technology platforms offer fast and reliable access to a unique portfolio of travel products & services, while rich data and intelligence seamlessly connect supply and demand worldwide.Job summaryThe Senior Data Platform Engineer is the responsible of HBX's Data & AI Platform, implementing the strategy, architecture, delivery and operational excellence of the technology ecosystem that supports all analytics, machine learning and artificial intelligence capabilities across the company.Acting as the senior technology authority for the domain, the Principal Engineer drives platform evolution, governs architectural standards and ensures the successful delivery and operation of critical data services that enable decision-making across the organization.Through close collaboration with Product, Engineering, Business and Executive stakeholders, the role ensures that the Data & AI Platform can support the company's growth ambitions while maintaining operational stability, service quality and technology excellence.Position ResponsibilitiesOwn end-to-end responsibility for the reliability, performance and scalability of all Data, ML & AI platform, ensuring alignment with business objectives and technology strategyDefine and drive the technical roadmap and long-term evolution of the platform ecosystem, including data ingestion, transformation, analytics, machine learning and AI enablement capabilities, ensuring alignment with business objectives and technology strategy.Lead multiple engineering teams through their respective Team Leads, providing strategic direction, technical leadership and operational guidanceAct as the primary technology partner for senior business stakeholders, Product Directors, Engineering leaders and Executive LeadershipFoster a culture of engineering excellence, ownership, innovation, accountability and continuous improvementMentor senior engineers and Team Leads, supporting their technical and leadership developmentAssume end-to-end ownership of all Data Platform services, ensuring agreed service levels, platform availability, reliability and performance.Establish and monitor service KPIs, SLAs and operational metrics across all platform componentsRequired skillsExceptional leadership skills with proven ability to lead multiple engineering teams through Team Leads and senior technical contributors.Strong command of English, both written and verbal.Rewards - Talent Acquisition |Must haveDeep expertise designing, operating and evolving enterprise-scale Data Platforms supporting Analytics, Machine Learning and AI workloads.Strong understanding of modern Data Architecture patterns including Data Warehousing, Lakehouse, Data Mesh and Data Product concepts.Strong experience with Snowflake architecture, performance optimization, security and governance.Expert knowledge on modern ELT frameworksExtensive experience with AWS cloud services and cloud-native data architectures.Strong knowledge of data integration patterns including batch, streaming, CDC and event-driven architectures.Experience supporting enterprise BI platforms such as Tableau and ensuring data product scalability and performance.Solid understanding of machine learning lifecycle requirements, MLOps concepts and AI platform enablement.Strong software engineering background with expertise in Python and SQL.Deep knowledge of observability, monitoring, alerting and platform reliability engineering practices.Experience implementing enterprise-grade access controls, auditing and lineage capabilities.Experience with Great Expectations, Soda, Monte Carlo or similar data quality frameworks.Knowledge of Kubernetes and container orchestration technologies.Experience with FinOps and cloud cost optimization strategies.Experience leading large-scale Data & AI transformation initiatives.Exposure to global and distributed engineering teams.Experience & Qualifications10+ years of experience in Data Engineering, Platform Engineering or related technology leadership roles.Proven experience owning and operating business-critical data platforms at scale.Strong track record of delivering large-scale Data, Analytics and AI programs.Experience managing relationships with senior business and technology stakeholders.Bachelor's or master's degree in computer science, Engineering, Information Systems or a related field.Strong command of English with the ability to communicate effectively with both technical and non-technical audiences. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)