We are seeking a motivated and data-passionate Data Engineer Intern eager to put their skills into practice in a dynamic and innovative environment. The selected candidate will work closely with our Data Science and Data Engineering team, supporting the management of data in relational databases and the design and optimization of scalable data pipelines. We are looking for a Data Engineer with a collaborative mindset, ready to share and acquire knowledge with other team members.
Main Responsibilities:
• Collaborate with the Data Engineering team to design, develop, and maintain scalable and reliable data pipelines.
• Support the integration of data from various sources (databases, APIs, files, etc.).
• Participate in improving infrastructure for data collection, management, and storage.
• Monitor data quality and identify anomalies or issues within the pipeline.
• Contribute to the creation and optimization of ETL (Extract, Transform, Load) processes.
• Work with Data Scientists and analysts to provide high-quality data for machine learning and advanced analytics projects.
• Maintain technical documentation for the processes and solutions implemented.
Requirements:
• A degree (in progress is also acceptable) in Computer Science, Computer Engineering, Mathematics, Statistics, or related fields.
• Basic knowledge of programming languages such as Python, Java, or Scala.
• Understanding of relational and non-relational databases (e.g., SQL, NoSQL).
• Familiarity with data management tools and frameworks (e.g., Apache Spark, Hadoop, Airflow) is a plus.
• Knowledge of ETL processes and big data management.
• Strong problem-solving skills and team-oriented attitude.
• Curiosity, proactivity, and a desire to learn new technologies.
• Good command of English, both written and spoken.
We Offer:
• Opportunities to learn and develop technical skills through real-world projects.
• Mentoring from experienced professionals in the field of data engineering.
• Access to advanced technologies and data analysis tools.
• Inclusive and collaborative working environment.
• Possibilities for growth and professional development.
Location:
Hybrid, onsite with the flexibility of remote working.
Why work with us? What do we do?
We are a young company with several active projects across different sectors:
• Energy
• Food & Beverage
• Non-Profit
• Retail
• Government
• Ecommerce
• Telco
Our expertise allows us to manage Data Science projects, addressing all phases of the data lifecycle to meet our clients’ needs. We combine a strong statistical background with solid technical proficiency in the use and selection of software tools. You will have the opportunity to apply and share your skills and knowledge to meet diverse challenges while fostering curiosity.
For selected candidates, the recruiting process will include:
• An introductory interview
• A case study
• A final technical interview
Start Date: Negotiable, as soon as possible
Note: The position is open to all qualified candidates regardless of age, gender, race, sexual orientation, religion, or ability.
