Azure Platform Engineer (Portugués)

Babel; Valencia; Presencial; EUR 90.000 - 140.000; Jornada completa

Descripción de la vacante

HBX Group, a leading TravelTech data and AI platform provider, seeks a Senior Data Platform Engineer to own the Data & AI Platform strategy, architecture and operations. You will lead multiple engineering teams, drive platform evolution and ensure scalable, secure data services that empower analytics and ML across the company.

Collaborating with Product, Engineering and executive stakeholders, you will shape the technical roadmap, establish standards and mentor senior engineers to deliver

Formación

• Leadership across multiple engineering teams with senior contributors.
• Ability to align technology investments with business goals.
• Excellent communication and business-facing storytelling.
• Decision-making in complex, changing environments.
• Proven track record in data platform design and operations.

Responsabilidades

• Own reliability, performance and scalability of Data, ML & AI platform.
• Define technical roadmap for data ingestion, transformation, analytics and AI enablement.
• Establish technology standards, frameworks and best practices.
• Ensure platform security, cost-efficiency and maintainability.
• Lead multiple engineering teams via Team Leads and senior engineers.
• Partner with senior stakeholders and executives on strategy.
• Foster engineering excellence, ownership and continuous improvement.
• Mentor engineers and leaders; drive architectural governance.

Conocimientos

Leadership

Stakeholder management

Strategic thinking

Communication

Decision making

People leadership

Engineering excellence

Analytical skills

Problem solving

Resilience under pressure

English proficiency

Herramientas

Snowflake

Tableau

AWS

ELT frameworks

CI/CD

Infrastructure as Code

Git workflows

OpenMetadata

Great Expectations

Soda

Monte Carlo

Data quality tooling

Descripción del empleo

HBX Group is a leading B2B ecosystem player in the TravelTech space, connecting and empowering businesses in the ever-evolving world of travel. We drive growth for our clients and partners while removing friction from the end-to-end travel experience. 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 summary

The 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.

The role provides technical leadership across multiple engineering teams and is accountable for ensuring that platform services are scalable, secure, reliable and aligned with business priorities. 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 Responsibilities

• Own end-to-end responsibility for the reliability, performance and scalability of all Data, ML & AI platform, ensuring alignment with business objectives and technology strategy
• Define 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.
• Act as the ultimate technical authority for the domain establishing technology standards, frameworks and engineering best practices.
• Ensure platform scalability, reliability, security, maintainability and cost-efficiency as business demand grows.
• Evaluate emerging technologies and define adoption strategies that improve productivity, platform capabilities and business outcomes.
• Lead multiple engineering teams through their respective Team Leads, providing strategic direction, technical leadership and operational guidance
• Act as the primary technology partner for senior business stakeholders, Product Directors, Engineering leaders and Executive Leadership
• Foster a culture of engineering excellence, ownership, innovation, accountability and continuous improvement
• Mentor senior engineers and Team Leads, supporting their technical and leadership development
• Assume 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 components

Required skills

• Exceptional leadership skills with proven ability to lead multiple engineering teams through Team Leads and senior technical contributors.
• Strong stakeholder management capabilities, with experience engaging and influencing Director and C-Level stakeholders.
• Strategic mindset with the ability to align technology investments with business objectives.
• Excellent communication and presentation skills, capable of translating complex technical concepts into business language.
• Strong decision-making and prioritization skills in complex and rapidly changing environments.
• Proven ability to balance operational stability, technical innovation and business delivery.
• Strong people leadership capabilities, including coaching, mentoring and organizational development.
• Demonstrated experience building high-performing engineering organizations and fostering engineering excellence.
• Excellent analytical and problem-solving capabilities.
• Resilience and ability to operate effectively under pressure while managing competing priorities.
• Strong command of English, both written and verbal.
• Required technical skills

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Must have

• Deep 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 frameworks
• Extensive 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.
• Understanding of semantic layers, consumption patterns and self-service analytics strategies.
• Solid understanding of machine learning lifecycle requirements, MLOps concepts and AI platform enablement.
• Experience supporting infrastructure and services required for ML and AI workloads in production environments.
• Strong software engineering background with expertise in Python and SQL.
• Experience with CI/CD, Infrastructure as Code, Git-based development workflows and platform automation.
• Deep knowledge of observability, monitoring, alerting and platform reliability engineering practices.
• Experience implementing enterprise-grade access controls, auditing and lineage capabilities.
• Experience with OpenMetadata or similar metadata management platforms.
• Experience with Great Expectations, Soda, Monte Carlo or similar data quality frameworks.
• Familiarity with GenAI, LLMOps and emerging AI platform technologies