Role: Data Infrastructure Engineer (Remote)Location: Remote (Work from Anywhere)Role Overview: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.Key Responsibilities:
- 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.Required Skills & Qualifications:
- 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.More About the Opportunity:This role offers a unique opportunity to work with a integral 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.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!

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