Data Engineer

hace 3 días

Sevilla, España Atlantica Sustainable Infrastructure A tiempo completo

**Join Our Team**:
We are currently recruiting a **Data Engineer** to join our team and contribute to key projects in a dynamic and collaborative environment. This role is part of a global team working toward common goals. We operate as one company, across all locations, with shared responsibility and clear accountability.

**Description**

From the IT Department at Atlantica, we are looking for a Data Engineer to lead projects focused on building and maintaining the data infrastructure, using scalable data pipelines, managing process transformations, and ensuring data quality and security.

**Responsibilities**
- Design, develop, and maintain robust ETL/ELT processes and data pipelines.
- Integrate data from a variety of sources, including internal databases, third-party APIs, and external datasets.
- Collaborate with data scientists, analysts, and other stakeholders to deliver high-quality, well-documented data sets.
- Ensure data quality, integrity, security, and compliance across all solutions.
- Optimize database performance, storage, and query execution.
- Participate in the architecture and implementation of data warehouses and data lakes.
- Monitor and troubleshoot data systems for reliability and performance.
- Automate data processes and workflows where possible.

**Required Profile**

**Experience**
- Minimum 3-5 years in roles related to ML, data engineering, software development, or a related field.

**Technical Competencies**
- Strong programming skills in Python.
- Extensive experience with SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).
- Working knowledge of Azure platform.
- Familiarity with big data technologies (e.g., Spark, Databricks)
- Experience with ETL tools and data pipeline orchestration (e.g., Airflow, Azure Synapse).
- Understanding of data modeling, data structures, and data governance principles.
- Experience with containerization (Docker, Kubernetes).
- Familiarity with CI/CD pipelines and version control (Git).
- Exposure to machine learning workflows and model deployment.

**Education**
- Bachelor’s degree or equivalent experience in Computer Science, Data Science, Engineering, Mathematics, or related fields.

**Desirable Certifications**:

- **AI/ML**: Certifications in AI/ML from recognized providers (Coursera, Microsoft, AWS, Google).
- **Cloud**: Azure Data Engineer, AWS Certified Machine Learning, Google Cloud ML Engineer.

**Languages**
- **Spanish**: High
- **English**: High (C1 or equivalent)

**Company Culture**:
We believe in a culture of trust, shared goals, and accountability. No matter where you are based, you are part of one team working toward the same mission.

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