Senior Data Engineer
Team: Data
Location: Spain
Commitment: Full-time Contrato Indefinido
Workplace Type: remote
⭐ How will you make an impact?
- Design, build, and maintain scalable data pipelines and infrastructure using our core data stack
- Implement data quality checks, monitoring, and contribute to data governance practices
- Develop and optimise data models using dbt for analytics and operational use cases
- Troubleshoot data issues, potentially assisting with tracking implementation problems
- Ensure data infrastructure supports downstream consumers, including analytics and potentially future AI/ML initiatives
- Collaborate with analysts and stakeholders to ensure data accessibility for visualisation and operational syncing (Hightouch)
- Optimise performance and cost-efficiency of the data platform
- Mentor team members and promote data engineering best practices.
⭐ What makes you a great fit?
- 7+ years in data engineering, with significant hands-on experience using modern data stack tools
- Advanced SQL, proficient Python for data engineering tasks, strong data modeling and warehousing fundamentals
- Proven experience with tools like orchestration (e.g., mage.ai, Airflow), dbt, ELT solutions (e.g., Fivetran, Airbyte)
- Experience with a cloud platform (GCP, AWS, Azure)
- Track record of building and maintaining reliable, end-to-end data pipelines in production
- Ability to work effectively with cross-functional teams and clearly communicate technical concepts
- Strong analytical and troubleshooting skills.
⭐ How can you earn extra bonus points?
- Knowledge of JavaScript/Frontend for tracking and troubleshooting
- Experience with BI/visualisation tools
- Familiarity with Machine Learning concepts and the data requirements for training and deploying models
- Familiarity with event-driven architectures or data privacy regulations (GDPR)
- SaaS or Travel/Hospitality industry experience.
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