Ingeniero de Datos
Metova
Posted: January 14, 2026
Interested in this position?
Create a free account to apply with AI-powered matching
Quick Summary
Design, implement, and maintain robust data pipelines and architectures for our clients, working closely with cross-functional teams to deliver exceptional software solutions.
Required Skills
Job Description
UNLEASH YOUR POTENTIAL WITH US:
We promote a flexible and positive work environment, allowing you the autonomy to build exceptional software solutions for our clients while contributing to a team of industry-leading innovators. If you are passionate about data engineering and ready to make a significant impact, we want to hear from you!
YOUR ROLE:
We are looking for a skilled Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines and architectures. You will collaborate with cross-functional teams to ensure that our data is accurate, accessible, and actionable, helping our clients leverage their data for better decision-making.
KEY RESPONSIBILITIES:
• Design, develop, and maintain data pipeline architectures.
• Optimize data ingestion, storage, and processing workflows.
• Collaborate with data scientists and analysts to understand data needs and convert requirements into technical specifications.
• Ensure data quality and integrity throughout the data lifecycle.
• Implement data security and compliance measures.
• Monitor and troubleshoot data systems performance issues.
• Stay up-to-date with industry trends, technologies, and best practices in data engineering.
Requirements:
Requirements
• 5+ years of experience in Data Engineering or a similar role.
• Strong knowledge of ETL tools and databases (SQL and NoSQL).
• Proficiency in programming languages such as Python and/or Java.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Proven ability to design and build scalable data management systems.
• Strong focus on data quality, reliability, and continuous improvement.
• Excellent written and verbal communication skills.
Nice to Have
• Experience with microservices architectures and containerization tools (Docker, Kubernetes).
• Knowledge of data visualization tools such as Tableau or Power BI.
• Experience with real-time data processing technologies (Apache Kafka, Apache Spark).
.