Portugal
Mindrift
Indra Group
Data Engineer
Portugal
Portugal
PythonSQLAWSGCP
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About the opportunity
Indra Group, Tech for the future
Indra, technology for a more human future
We are a leading global technology and digital consulting company that connects people, technology, and businesses to create growth, transformation, and positive, sustainable impact.
We are strengthening our software development team and are recruiting a Data Engineer.
As a Data Engineer, you will join our data and analytics teams, focusing on designing, building, and optimizing robust data pipelines, storage ecosystems, and scalable architectures that transform raw data into structured, high-value business information.
Responsibilities
- Design, build, and maintain scalable, high-performance data pipelines (ETL/ELT).
- Model and structure data storage ecosystems such as Data Lakes and Data Warehouses.
- Ensure data quality, integrity, security, and governance throughout its entire lifecycle.
- Optimize and monitor data processing flows to ensure maximum efficiency and speed.
- Collaborate with Data Scientists and Analysts to make data available for analysis and decision-making.
Skills
- Solid experience in developing data pipelines using Python, Scala, or SQL.
- Proficiency in data processing and orchestration tools such as Spark, Databricks, or Apache Airflow.
- Hands-on knowledge of relational databases, NoSQL, and Cloud architectures like Azure, AWS, or GCP.
- Familiarity with data modeling concepts, Data Warehousing, and modern data architectures.
- Excellent analytical skills, attention to detail, and a strong orientation towards solving complex problems.
- Ease of communication and a strong team spirit in a multidisciplinary environment.
- Work-life balance; our work model reflects principles of flexibility and autonomy.
- Professional career aligned with your professional profile.
- Continuous on-the-job training and access to our training platform, designed to empower talent and develop professional skills.
Our commitment is to foster work environments where people are treated with respect and dignity, promoting the professional development of the workforce and ensuring equal opportunities in selection, training, and promotion, offering a workplace free from any discrimination based on gender, age, disability, sexual orientation, gender identity or expression, religion, or ethnicity.
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