Join to apply for the Data Engineer role at Atlantica Sustainable Infrastructure Ltd.
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
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.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
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