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Data Engineer

Remote in Portugal
Data Integration
& 16 others

We are seeking a skilled Data Engineer to join our growing global team of professionals dedicated to tackling complex big data analytics challenges.

This role requires a motivated individual who thrives in dynamic environments and is passionate about designing and implementing cutting-edge solutions that drive data-driven decision-making.

Responsibilities
  • Collaborate with stakeholders to understand business requirements and define technical solutions
  • Develop scalable data pipelines and ETL processes to manage large datasets effectively
  • Optimize database performance and ensure data integrity for analytical purposes
  • Design and implement data models to support business needs and reporting structures
  • Analyze and interpret complex datasets to uncover insights and trends
  • Integrate various data sources, ensuring seamless communication between systems and platforms
  • Leverage modern coding languages to build robust, secure, and maintainable applications
  • Maintain documentation for technical processes, workflows, and system architecture
  • Support Agile approaches for continuous development, testing, and deployment cycles
  • Facilitate technical discussions to encourage best practices and innovative solutions
Requirements
  • Bachelor's degree or equivalent in Computer Science, Data Science, or related disciplines
  • 2+ years of professional experience in data engineering or related fields
  • Proficiency in Python or TypeScript, with flexibility in modern coding practices
  • Understanding of SQL and relational databases, competencies with database concepts
  • Skills in data analytics and visualization to support decision-making processes
  • Familiarity with frameworks such as Palantir Foundry, Scrum, and Agile principles
  • Background in HTML, CSS, JavaScript, and Gradle for data-driven application development
  • Knowledge of financial industry or insurance domain is a highly desirable asset
Nice to have
  • Knowledge of Palantir Foundry and Microsoft Power BI
  • Qualifications in PySpark and its use in large-scale data processing
  • Showcase of experience with Machine Learning or Generative AI solutions
We offer/Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn