Remote Data Engineer

Description:

• Seeking a skilled experienced Data Engineer with a bachelor’s degree in Telecommunications, Computer Engineering, or related fields, and at least 3 years of experience in designing and developing complex Data & AI architectures.
• Responsibilities include defining and executing strategies and data architectures on cloud (GCP), leading the design, development, implementation, and maintenance of data pipelines, systems, and architectures.
• Designing data pipelines to extract data from internal and external sources for training and inference of Artificial Intelligence models.
• Monitoring the quality and performance of data pipelines and sharing knowledge with colleagues.
• Promoting best practices in systems integration, security, performance, and data processing.

Requirements:

• Bachelor's or Master's degree in computer science or relevant field.
• 3-4 years of experience in data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, and data privacy.
• Understanding of Data Modeling patterns, SQL, and Python/R.
• Experience in managing partnerships and negotiations with IT vendors.
• Ability to quickly grasp new technologies.
• Fluent communication in English.

Benefits:

• Flexible Benefits including meal vouchers, health insurance, transportation, and more.
• Growth Opportunities through working with major clients and accessing specialized training programs.
• Free Online Training with unlimited courses from LinkedIn Learning and Udemy Catalogs.
• Online English Classes for B1 level of English or above.
• Partner Certifications from industry giants like Meta, Google, or Amazon.
• Work from anywhere program allowing telecommuting from over 100 countries.
• Attractive holidays package including birthday & Advertising Day off.
• Work-Life Balance with hybrid model, flexible work start schedule, and intensive summer hours.
• Well-being initiatives like daily meditation or yoga.
• Subsidized breakfast & daily menu at Café Marcel canteen.
• Commitment to building a culturally diverse workforce and equality of opportunity.