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# Data Infrastructure Engineer (Remote)

- **Company:** Hire Feed
- **Location:** Gusendos de los Oteros, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Document-Oriented Databases, NoSQL, Software Engineering, SQL Databases, Apache Spark, Data Lakes, Data Management, Data Pipelines
- **Published:** September 20, 2026
- **Apply:** https://www.buscojobs.com.es/data-infrastructure-engineer-remote-en-gusendos-de-los-oteros-ID-371955907

## About the Role

* 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 global 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.

## Description

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 global 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!