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eDreams ODIGEO

BI Data Engineer

eDreams ODIGEO · Barcelona, Catalonia, Spain

  • On site
  • Full-time
  • $110,000 / year
  • Barcelona, Catalonia, Spain

Job highlights

  • Design and optimize data pipelines.
  • Develop scalable data models and architecture.
  • Ensure data quality and integrity.
  • Collaborate in an agile environment.
  • Support data users and best practices.

About the role

About the Role

As you contemplate your future, you might be asking yourself, what's the next step? Start your journey with us!

We are seeking a talented and passionate BI Data Engineer to join our dynamic Business Intelligence team. In this role, you will be instrumental in shaping our data landscape, working on exciting projects including our ongoing migration to a cutting-edge Google Cloud-based data platform. If you thrive in an agile environment, love transforming raw data into actionable insights, and are proficient with modern data stack technologies, this is the opportunity for you.

Our Business Intelligence team is the centre of excellence for providing insights and learning from the Data. Our goal is to help different teams across the organization to succeed in their mission by providing insights generation and data analysis support in a healthy data-informed environment.

Why eDreams ODIGEO

  • Join the world's leading travel subscription platform.
  • Millions of customers every year across 44 markets – 5 brands – over 7.7 million Prime members since launching in 2017.
  • More than 100 million searches per day on our websites - more than 6 billion AI daily predictions
  • Over 1,700 employees – More than 60 different nationalities from all continents – 99% permanent contracts

We're the world’s leading travel subscription platform. We pioneered Prime, the first and largest travel subscription programme, which has topped over 7.7 million members since launching in 2017. Prime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits. This entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members.

What You Will Do

The Role's Key Responsibilities and Tasks

As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As an BI Data Engineer in the Business Intelligence team, you will be in charge of:

  • Develop & Optimize Data Pipelines: Design, build, and maintain efficient and reliable data pipelines using Python, SQL, DBT, and Airflow to ingest, transform, and load data from diverse sources into our Google Cloud data warehouse (BigQuery).
  • Data Modelling & Architecture: Contribute to the design and implementation of scalable and performant data models / pipelines that support analytical and reporting needs.
  • Ensure Data Quality & Integrity: Implement data quality checks and processes to ensure the accuracy, consistency, and reliability of our BI data.
  • Collaborate & Innovate: Work closely with product owners, data analysts, and other stakeholders to understand data requirements and translate them into technical solutions. Actively participate in an agile development environment, contributing to sprint planning, reviews, and retrospectives.
  • Empower Data Users: Support the development of dashboards and reports, and provide assistance to users to help them leverage data effectively.
  • Champion Best Practices: Promote and implement best practices in data engineering, including code quality, testing, documentation, and version control.

What You Need to Succeed

Good to have

Bring your unique perspective, speak up, and offer disruptive solutions. You'll have the opportunity to learn and grow while making a real impact on our team. Here's what you need to succeed:

  • Solid Data Engineering Experience: Proven experience in designing, building, and optimizing data pipelines.
  • Python Proficiency: Strong programming skills in Python for data manipulation and automation.
  • SQL Expertise: Deep understanding of SQL and experience with complex querying and data modelling.
  • DBT (Data Build Tool) Knowledge: Hands-on experience with DBT for transforming data in a modular and testable way.
  • Workflow Orchestration with Airflow: Experience in developing and managing data workflows using Apache Airflow (preferably Google Cloud Composer).
  • Cloud Data Warehousing: Familiarity with cloud-based data warehousing solutions, ideally Google BigQuery.
  • ETL/ELT Tooling: Understanding of ETL/ELT principles and experience with relevant tools.
  • Infrastructure Management and Automation: Understanding usage of Google Kubernetes Engine (GKE), Docker, Pub/Sub, Git & CI/CD.
  • Analytical & Problem-Solving Mindset: Ability to analyze complex data challenges, identify root causes, and implement effective solutions. You have a keen eye for detail and a commitment to delivering high-quality results.
  • Team Player & Communicator: Excellent communication and collaboration skills. You thrive in a team environment and can effectively articulate technical concepts to both technical and non-technical audiences.
  • Agile Advocate: Experience working in agile (Scrum/Kanban) environments.
  • Self-Starter & Proactive: You are organized, proactive, and capable of managing your tasks effectively in a fast-paced environment.
  • Fluent in English: Professional proficiency in English (written and spoken) is a must.
Bonus Points (Highly Desirable):
  • BS/MS in Computer Science, Engineering, Mathematics, or a related quantitative field.
  • Experience with other Google Cloud Platform data services.
  • Familiarity with data visualization tools (e.g., Microstrategy, Looker, Tableau, Data Studio).
  • Previous experience in the travel or e-commerce industry.

What’s In It For You

The best talent deserves the best benefits

At eDO, we want you to be a part of our success story and great culture. Here's what we offer:

  • A rewarding Compensation package! 💥 Prime Plus membership, Competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and the possibility of choosing your equipment and, even better, keeping it for free after 3 years.
  • Continuous learning to fuel your growth and explore new horizons! 📚 Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program.
  • Grow opportunities to empower your career, and unleash your potential! 🚀 Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive. Internal mobility opportunities let you pursue horizontal career changes and promotions.
  • Your Well-being is our Priority. Embrace Freedom and Flexibility! 💙 At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home-office model focused on outcome, not time-in-seat. You'll be able to find the right work-personal life balance that suits you best.
  • Work hard, party hard! We believe in having fun and connecting with colleagues! 🎉 Join eDO for after-work events, padel tournaments, parties, and more. Create communities based on your passions, like sports and music. Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices.
  • Enjoy a dynamic and healthy environment! 💫 Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You'll work in an Agile Mindset environment with recognition at our core.

Wanna take a peek into what it's like to work at eDO? Follow us on LinkedIn and discover more about life at eDO!

If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further! Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel. Apply now!

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation.

Key skills/competency

  • Data Engineering
  • Python
  • SQL
  • DBT
  • Airflow
  • Google BigQuery
  • ETL/ELT
  • Data Modeling
  • Agile
  • Problem-Solving

Skills & topics

  • BI Data Engineer
  • Data Engineering
  • Python
  • SQL
  • DBT
  • Airflow
  • Google BigQuery
  • ETL
  • ELT
  • Data Modeling
  • Cloud Data Warehousing
  • Agile
  • Business Intelligence
  • Data Pipelines
  • Data Transformation

How to get hired

  • Tailor your resume: Highlight your Python, SQL, DBT, and Airflow experience, emphasizing Google Cloud and BigQuery projects.
  • Showcase data pipeline skills: Quantify your achievements in developing, optimizing, and maintaining data pipelines.
  • Demonstrate agile proficiency: Mention your experience in Scrum/Kanban environments and collaborative teamwork.
  • Highlight problem-solving: Provide examples of how you've analyzed complex data challenges and implemented solutions.
  • Prepare for technical questions: Be ready to discuss data modeling, ETL/ELT processes, and cloud data warehousing concepts.

Technical preparation

Practice Python data manipulation and SQL queries.,Build small data pipelines using DBT and Airflow.,Familiarize with Google Cloud BigQuery concepts.,Review ETL/ELT processes and best practices.

Behavioral questions

Describe a complex data challenge you solved.,How do you ensure data quality in pipelines?,How do you collaborate with non-technical stakeholders?,How do you manage tasks in an agile environment?

Frequently asked questions

What are the key responsibilities for a BI Data Engineer at eDreams ODIGEO?
As a BI Data Engineer at eDreams ODIGEO, your core responsibilities will include designing, building, and maintaining efficient data pipelines using Python, SQL, DBT, and Airflow. You will also contribute to data modeling and architecture, ensure data quality and integrity, and collaborate with stakeholders in an agile environment to empower data users and champion best practices.
What technologies are essential for the BI Data Engineer role at eDreams ODIGEO?
Essential technologies for this role include strong Python and SQL skills, experience with DBT for data transformation, and proficiency in workflow orchestration using Apache Airflow. Familiarity with Google BigQuery for cloud data warehousing and an understanding of ETL/ELT principles are also crucial. Experience with Google Cloud Platform services and tools like Docker and Git is highly beneficial.
Does eDreams ODIGEO offer opportunities for professional growth for a BI Data Engineer?
Yes, eDreams ODIGEO emphasizes continuous learning and growth. They offer resources like free Coursera access, soft skills workshops, tech training, and leadership development programs. The company also provides personalized career paths through the eVOLVE Program and opportunities for internal mobility.
What is the work environment like for a BI Data Engineer at eDreams ODIGEO?
eDreams ODIGEO fosters a dynamic, agile, and collaborative work environment. They value innovation, risk-taking, and open communication. The company offers a hybrid home-office model focused on outcomes, promoting a healthy work-life balance. They also encourage team building through social events and community creation.
What are the benefits of working as a BI Data Engineer at eDreams ODIGEO?
Working at eDreams ODIGEO as a BI Data Engineer comes with a rewarding compensation package, including a competitive salary, flexible benefits, and performance-based bonuses. You'll also receive Prime Plus membership, relocation support, and the opportunity to keep your equipment after 3 years. Continuous learning, growth opportunities, and a focus on employee well-being and work-life balance are key benefits.