STAFF DATA ENGINEER

About the companyWe are Stayforlong, and for us travel is not just a means to an end but a journey of extraordinary moments and remarkable discoveries.As firm believers in the enriching power of prolonged stays, we are passionate about nurturing meaningful connections with the places our customers visit. We reward their commitment to the journey with progressively cheaper rates, encouraging them to immerse themselves in the very essence of each destination.We were born in Barcelona out of the need to disrupt an industry dominated by big corporations dictating how we should travel.Since 2015, our commitment has been to empower our customers to break free from the constraints of an oversaturated market. We strive to offer a fresh perspective, giving them, hoteliers and our partners, the flexibility, opportunities and choices they deserve.About the teamAt Stayforlong we are currently a team of 80 people working in a dynamic and collaborative environment where people have the opportunity to grow and develop professionally.We strongly believe in equal opportunities for everyone, both in the workplace and beyond. We like to create spaces where everyone's ideas are equally valued and heard.We are committed to inclusion, diversity and work-life balance. We value a respectful work environment where all people are valued and respected regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc, etc, etc.We started in a difficult business environment and have grown from there, which is why we admire nonconformists who fight against the odds, refuse to be intimidated, and help others along the way. With our digital DNA, we thrive on challenges, love to think outside the box, and move with the times.Would you like to join us? 👋Job PurposeAs a Staff Data Engineer you will lead the design and development of scalable data pipelines. In this role, you will keep the data team cohesive, define and maintain a clear technical strategy, and build a long-term architecture for the data function within the company. The team is currently embedded within various cross-functional squads such as Marketing, Supply, Web or Operations.About the Product & Development teamThe Product and Development team at Stayforlong is a forward-thinking group of technical professionals, devoted to crafting innovative solutions and streamlining our platform to create the best user experience.Our team boasts a dynamic environment, fueled by ingenuity and a relentless pursuit of excellence. We believe in fostering a culture of knowledge sharing and encourage constant learning to keep up with the latest technological trends. Our diverse skill sets contribute to a creative hotbed, producing breakthrough ideas. We value the opportunity to grow together, celebrating each milestone as we traverse this exciting journey.Main job responsibilities are:Define and Communicate Technical Vision: Lead the development and communication of the data team’s technical vision and strategy, ensuring alignment with the company’s goals and evolving needs.Data Infrastructure & Architecture Oversight: Provide guidance on the design, implementation, and maintenance of scalable, efficient data infrastructure and pipelines that support key business functions.Set Technical Standards: Establish and enforce best practices for data governance, security, and quality across the organisation, ensuring consistency in how data is managed, processed, and utilised.Innovate and Adopt New Technologies: Stay ahead of industry trends and emerging technologies, driving the adoption of innovative tools and methodologies that improve the efficiency and effectiveness of data operations.Technical Problem-Solving: Serve as the go-to expert for solving complex technical challenges within the data domain, providing hands-on support when necessary.Collaboration with Engineering Teams: Partner with engineering and development teams to ensure data solutions are integrated seamlessly into the company’s technology stack and that cross-team technical efforts are aligned.Develop and implement a clear, long-term technical strategy for the data team, ensuring consistency in data practices across the organisation.Mentorship & Professional Development: Provide mentorship and career development opportunities to the data team members, promoting a culture of continuous learning.What you will bringExperience collaborating with distributed teams across multiple business functions.Strong technical background in data engineering, analytics, or related fields.Familiarity with modern data technologies, tools, and best practices in data infrastructure, analytics, and reporting (aws, snowflake, airbyte, dbt, looker,..).Strong understanding of distributed systems and asynchronous programming (e.g., Kafka, Apache Beam, Airflow).Extensive experience with data infrastructure and pipelines, data governance, and implementing best practices for data quality, security, and scalability.Strong understanding of modern data technologies (e.g., cloud platforms, big data processing frameworks, ETL tools) and programming languages such as Python, SQL, etc.Proficiency in AI-driven approaches, you'll need to harness AI technologies to improve the team's internal processes, optimise data workflows, and develop smarter strategies.Good organizational and communication skills, with the ability to balance strategic vision and day-to-day execution.Experience in mentoring and developing teams to achieve their full potential.Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.What We Offer:Permanent contract.Immediate incorporation.Full-time. Flexible schedule.Possibility to work from home.Office located in the center of the city (Barcelona).Flexible remuneration: You will be able to include a restaurant card, transport card, kindergarten check, health insurance, and training.Taking part in a multicultural company.Excellent work environment. Sign up for our job offer and discover what we can achieve together. We wanna meet you!