• Trabajarás en distintos proyectos para ayudar a los clientes de Astrafy a sacar el máximo partido de sus datos. • Colaborarás tanto en el plano de negocio como en el técnico del caso de uso del cliente. • Diseñar y mantener pipelines de datos escalables aprovechando tecnologías como Airflow, dbt, BigQuery, Pub/Sub y Snowflake, garantizando una ingesta, transformación y entrega de datos eficientes y fiables. • Desarrollar y optimizar la infraestructura de datos en Google Cloud, aplicando buenas prácticas de rendimiento, coste y seguridad. • Usar Terraform para automatizar el aprovisionamiento de infraestructura y gestionar cargas de trabajo contenizadas, fomentando la agilidad y la repetibilidad entre entornos. • Implantar medidas sólidas de gobernanza, seguridad y calidad de los datos, asegurando exactitud, consistencia y cumplimiento a lo largo de todo el ciclo de vida del dato. • Colaborar con equipos multidisciplinares para diseñar y desplegar paneles de BI y otras soluciones analíticas que ofrezcan a los stakeholders información accionable. • Refinar continuamente la arquitectura de datos para adaptarla a las necesidades cambiantes del negocio, escalando las soluciones para gestionar un mayor volumen y complejidad de datos. • Promover una cultura de innovación investigando, evaluando y recomendando tecnologías de datos emergentes y mejores prácticas del sector.

• Design, build, and maintain scalable ETL pipelines and data workflows to support analytics and operational use cases • Develop and optimize data models and warehouse structures to enable efficient reporting and insights • Partner with cross-functional teams (Operations, Compliance, Product, BI) to translate business requirements into data solutions, including support for complaints and regulatory processes • Improve and maintain data quality, integrity, and governance standards across systems • Optimize query performance, dashboards, and reporting infrastructure for scalability and efficiency • Contribute to system design discussions, ensuring data architecture supports long-term business needs and growth • Troubleshoot and resolve data issues, ensuring reliability and accuracy of datasets used across the organization

HBX Group is the world’s leading technology partner, connecting and empowering the world of travel. We’re game-changers, disruptors, the people who bring together local and global brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets. We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none. And of course we have an amazing team! Our people, Team HBX Group, are the beating heart of the company who we encourage to ‘move fast, dream big and make the difference’ every day. In fact, we believe that it is tech + data + people that truly sets us apart in the market, alongside our ‘global approach, local touch’ mentality. We’re headquartered in Palma, Mallorca and employ around 3,500 people worldwide. JOB DESCRIPTION: . Civitfun is opening a new data-focused vertical and is looking for a Senior Data Engineer with approximately seven years of experience. This role will be responsible for designing and establishing the foundations of our data architecture, including the creation of a data warehouse on AWS and the definition of all associated data pipelines. The position involves close collaboration with the Platform team, the CTO, and development teams, with the goal of enabling data-driven decision-making across the company. The ideal candidate combines strong technical skills with an understanding of business impact, and is able to translate business needs into robust, scalable, and cost-efficient data solutions. Responsibilities: - Design, build, and maintain scalable data pipelines and data models within the AWS ecosystem, ensuring data consistency, reliability, and performance. - Lead the design and implementation of a new data warehouse, selecting appropriate components of the AWS Data Stack and defining the architectural principles that will guide future development. - Understand the business domain and work closely with stakeholders to translate analytical needs into technical solutions that bring measurable business value. - Anticipate data quality issues, bottlenecks, scalability challenges, and operational risks, proactively proposing improvements and preventive measures. - Act as a technical reference within the data domain, collaborating with Platform, Development, and Business teams to align on priorities and deliverables. - Promote best practices in data engineering, including data governance, testing, documentation, monitoring, and cost control. - Review, analyse, and optimise data processes regularly, ensuring adherence to standards and continuous improvement across the data lifecycle. - Participate in the design and planning of initiatives, contributing technical guidance and helping establish long-term data standards aligned with company goals. - Stay updated on industry trends and emerging technologies and bring this knowledge into the team to improve processes, architecture, and tools Technologies: - Core work will rely on the AWS Data Stack. This may include, but is not limited to, services such as Amazon Redshift, AWS Glue, Amazon S3, AWS Lambda, Athena, Step Functions, and related AWS analytics services. - Experience with Snowflake, Tableau, or other enterprise-grade analytics and reporting tools is considered a plus. - Familiarity with modern data engineering tooling, orchestration frameworks, and CI/CD workflows is valued. Requirements: - Approximately seven years of experience in data engineering, data management, or similar roles, preferably within cloud-based environments. - Strong understanding of data modelling, ETL/ELT processes, and distributed data systems. - Experience working with AWS or another major cloud provider in a data-focused context. - Ability to evaluate and design solutions based on business impact, scalability, reliability, and cost efficiency. - Strong analytical, organisational, and time-management skills. - Excellent communication skills, with the ability to work effectively across technical and non-technical teams. - Ability to operate with autonomy, lead initiatives end-to-end, and act as a technical reference for others. Day-to-Day: - Work closely with the Platform team, CTO, and developers to define data priorities, design data processes, and integrate new data sources into the data platform. - Collaborate with business stakeholders to understand reporting and analytical needs and translate them into data models, datasets, and pipelines. - Design, test, and deploy data workflows using AWS components, ensuring scalability, reliability, and cost control. - Participate in planning sessions, reviews, and other agile ceremonies, contributing technical expertise and aligning on deliverables. - Continuously refine and improve data pipelines, monitoring systems, and architectural components based on performance, business needs, and industry best practices. - Ensure that data is consistently available, high quality, and ready for analysis, supporting the organisation’s transition toward data-driven decision making. You will have the opportunity to work for a company that is going through significant change in becoming the world´s leading travel services provider. We are looking for people that are ready to ride the wave in this exciting journey. As well as an attractive benefits package you will be able to work: - Within an innovative, engaging and multicultural environment. - Have the opportunity to build strong and lasting business relationships and friendships from around the world. - Have the opportunity in developing your career locally or within one of our beautiful working locations across the globe.

• Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (including Power BI, OneLake, semantic models, and data pipelines). • Build and maintain data models including relational, dimensional, star, and snowflake schemas. • Ingest, transform, and orchestrate data from multiple sources (SQL, APIs, SaaS applications, streaming sources). • Optimize data models and queries for performance, reliability, and cost efficiency. • Create dashboards, reports, scorecards, and visualizations for operational and executive audiences. • Collaborate with BI developers and analysts to support Power BI semantic models and reporting. • Administer and support enterprise Fabric environments, including workspace design, security, and lifecycle management. • Establish and enforce analytics standards and best practices within the Fabric ecosystem. • Conduct regular data profiling and quality assessments. • Partner with business stakeholders to gather, document, recommend, and refine analytics requirements. • Translate business questions into actionable data solutions. • Prepare process flows, data flow diagrams, and technical documentation. • Support metadata management, lineage, data security, and governance controls. • Automate deployments and data workflows using CI/CD pipelines. • Document data architecture, pipelines, and operational processes. • Contribute to project planning, scope definition, and milestone tracking. • Communicate progress, risks, and dependencies to technical and business stakeholders. • Respond to analytics-related user issues in alignment with service expectations. • Stay current with Microsoft Fabric updates and recommend improvements. • Other duties as assigned.