Data Engineer

This is a fully remote position, open to applicants in Spain, +2 more countries.

📋 Description

• Work closely with Data Scientists to implement real-time pricing algorithms for millions of users.

• Take charge of the entire lifecycle of data products.

• Assume complete responsibility for data pipelines within the Pricing Analytics domain.

• Design and construct systems to address highly complex or ambiguous challenges.

• Direct the design, development, optimization, and deployment of ML and ML-based solutions alongside cross-functional teams.

• Oversee the infrastructure that supports the Pricing algorithm.

• Ensure optimal performance of the pricing ML system.

• Facilitate cross-team initiatives to enhance ML infrastructure for model development, training, and deployment.

• Produce high-quality, well-tested, readable, and maintainable code.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative discipline.

• Advanced proficiency in SQL and Python.

• Ability to write clean, modular, and optimized code for intricate data transformations.

• Extensive hands-on experience in modeling enterprise Data Warehouses using dbt, including the Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage.

• Strong familiarity with the Databricks ecosystem, encompassing Delta Lake, PySpark, Unity Catalog, SQL Endpoints, and Serverless compute.

• Significant experience with AWS cloud infrastructure, including S3, IAM, KMS, and DataSync.

• Proficient in writing and orchestrating complex production DAGs using Apache Airflow or MWAA.

• Experience with Docker and Kubernetes.

• Knowledge of CI/CD pipelines, Git, GitHub Actions, and Terraform.

• Practical experience in building, optimizing, and maintaining enterprise dashboards using Tableau, PowerBI, or Databricks SQL Dashboards.

• Regular use of AI tools such as Claude and Databricks AI features.

• Strong understanding of GDPR requirements, PII masking, access control policies, data retention, and auditing via Unity Catalog.

• Analytical mindset with the ability to translate complex business requirements into scalable data marts and KPI metrics.

• Excellent communication skills to convey complex technical concepts to business stakeholders and domain teams.

• Proficiency in written and spoken English.

🏝️ Benefits

• A start-up environment backed by a large Group.

• The chance to innovate the applications of mobility alongside us.

• A smooth onboarding process to ensure a strong start.

• Numerous opportunities for professional growth.

• Collaboration with diverse and international teams.

• Involvement in international projects to enhance your experience.

• Access to an E-Learning platform for language development and other skills.