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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI Data Engineer - **Company:** Edo - **Location:** Barcelona, Spain (Remote available) - **Salary:** €60,000.0 - €65,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, BigQuery, Cloud Database, Software Quality, Computer Programming, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Visualization, Data Warehousing, Python (Programming Language), MicroStrategy, Scrum Methodology, Standard Sql, SQL Databases, Tableau (Software), Workflow Management Systems, Google Cloud, Google Data Studio, Data Build Tool (dbt), Git, Kubernetes, Information Technology, Google Bigquery, Looker Analytics, Software Version Control, Data Pipelines, Docker - **Published:** July 20, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + 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. ## Description 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. 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