Data Engineer

hace 1 semana

Sevilla, Sevilla, España Atlantica Sustainable Infrastructure Ltd 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.

Data Engineer Position - Atlantica IT Department

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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