Data Engineer (AWS) - Remote

Overview

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies.

In Short

• Design and develop a universal data platform for global aerospace companies.
• Maintain a large platform for processing automotive data.
• Design data transformation and data ops pipelines for a global car manufacturer.
• Build and scale reliable data pipelines for real-time and batch processing.
• Develop automated data workflows for analytics and AI/ML models.
• Ensure data quality and integrity across platforms.
• Partner with data science and business teams for technical solutions.
• Contribute to MLOps and CI/CD pipelines.
• Continuously improve processes for efficiency in a cloud environment.
• Transform business problems into data-driven solutions.

Requirements

• At least 3 years of experience in Big Data systems.
• Strong proficiency in Python and SQL.
• Understanding of cloud data ecosystems, especially AWS.
• Familiarity with automation tools like Airflow.
• Experience in Unix environments and using Git.
• Excellent communication skills and consulting experience.
• Ability to work independently.
• Fluent in English (at least C1 level).
• Master’s in Computer Science, Big Data, Data Science, or related field.

Benefits

• Supportive team environment focused on AI & Big Data.
• Flexible work arrangements, including remote work.
• Career growth opportunities with training and conferences.
• 20 paid days off for B2B contractors.
• Medical and sports packages, eye care, and well-being support.
• Full work equipment for productivity.
• Integration budget for team-building events.
• Friendly and autonomous company culture.