Role : Data Infrastructure Engineer (Remote)
Location : Remote (Work from Anywhere)

We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure. You will collaborate with cross-functional teams to deliver high-quality data solutions that support business insights and decision-making.

Design, develop, and optimize data pipelines to extract, transform, and load large datasets.
• Implement and maintain data warehouses and data lakes to support analytical and operational reporting.
• Collaborate with data scientists and analysts to ensure data accessibility and integrity.
• Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency.
• Document data architecture, processes, and standards for team reference and compliance.





Proficiency in SQL and experience with relational and NoSQL databases.
• Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.
• Knowledge of data modeling and warehouse design principles.
• Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure.
• Strong problem-solving skills with attention to scalability and performance.

This role offers a unique opportunity to work with a general leader in the Software Development industry, contributing to the development of data-driven solutions that enhance customer experiences. You will be part of a team that values technical excellence and innovation in data engineering.

All qualified candidates are welcome regardless of background, experience, or prior employment history.

📌 Data Infrastructure Engineer (Remote) (Castro Urdiales)
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📍 Castro Urdiales