Senior Data Engineer

Provectus is seeking a talented and experienced Data Engineer to join our team. As a Data Engineer, you will collaborate with a multidisciplinary team to design, implement, and optimize scalable, data-driven architectures for clients across various industries.

Requirements

• Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals.
• Collect and manage large volumes of varied data sets.
• Work directly with ML Engineers to create robust and resilient data pipelines that feed Data Products.
• Define data models that integrate disparate data across the organization.
• Design, implement, and maintain ETL/ELT data pipelines.
• Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently.
• Develop, continuously test, and deploy Data API Products with Python and frameworks like Flask or FastAPI.

Benefits

• Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications.
• Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work.
• Long-term B2B collaboration.
• 100% remote — with flexible hours.
• Collaboration with an international, cross-functional team.
• Comprehensive private medical insurance or budget for your medical needs.
• Paid sick leave, vacation, and public holidays.
• Equipment and all the tech you need for comfortable, productive work.
• Special gifts for weddings, childbirth, and other personal milestones.