Jobs Hiring Near Me: Curated Data Engineer Jobs in Spain

Join a remote-first engineering environment to build the data infrastructure powering a fast-growing global SaaS business. Design and maintain scalable data pipelines, transformation processes, and data models for internal products, reporting, and client-facing outcomes. Collaborate with Product, Design, Leadership, and Engineering teams to translate business needs into reliable and discoverable data solutions. Enjoy meaningful ownership as the data platform evolves and scales.

The Lighthouse Integrations Engineering teams are responsible for large-scale ingestion and transformation of hospitality data into Lighthouse’s data infrastructure. They build and maintain complex data pipelines handling millions of hotel reservations, prices, transactions, and other data points from hundreds of integrated systems. The Staff Technical Data Architect, Integrations role involves owning the technical architecture of Integration domains, unifying world's hospitality data into a strategic unified canonical data model. This is a high-impact role where work directly translates to real-world applications impacting hotels worldwide.

Lead Data Engineer position at Trinetix, a tech service provider with global operations. The role involves designing and implementing scalable data solutions, pipelines, and analytics-ready datasets.

Lead Data Engineer position at Trinetix, a tech service provider with global operations. The role involves designing and implementing scalable data solutions, pipelines, and analytics-ready datasets.

Join an expert team that creates cutting-edge tech solutions for world-renowned businesses, focusing on long-term impact and building lasting partnerships with clients. Enjoy a stable workload, income support, laptops, software licenses, agile working environment, flexible schedule, performance reviews, personal development plans, corporate library access, public speaking support, referral bonus program, and company-wide events.

We are seeking a Senior Data Engineer with a strong software engineering background and expertise in building modern cloud-based data platforms. This role involves designing, developing scalable data infrastructure, building reliable data pipelines, and establishing best practices across the data ecosystem. Ideal candidates enjoy solving complex engineering challenges to support analytics, machine learning, and product teams with high-quality data.

This position offers a remote opportunity for an experienced Data Engineer - Senior. The role involves designing, developing, and maintaining scalable data solutions that support reliable analytics-ready information across the organization. You will work closely with business stakeholders, product owners, architects, and technical teams to turn diverse data sources into trusted datasets. The focus is on the Microsoft Azure ecosystem, including Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage Gen2, Python, SQL, Delta Lake, and modern cloud-based architectures.

This position involves designing and evolving a scalable analytics platform using modern Zero-ETL approach. The Senior Data Engineer will work closely with Data Analysts, business stakeholders, and build trusted datasets for reporting, analytics, and informed decision-making.

Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/

This position is designed for an experienced data engineering professional who can combine deep technical expertise with team management capabilities. The role focuses on leading data engineering initiatives, contributing hands-on to the development of scalable and reliable data platforms, collaborating with product, analytics, and engineering teams to define data strategies, and driving innovation in a fully remote environment.