Big Data Engineer

Plain Concepts is seeking a Big Data Engineer to join their team of over 400 technology enthusiasts. This role offers an exciting opportunity to work with cutting-edge technologies in a company that values technical excellence and innovation. As a Big Data Engineer, you'll be working with Python/Scala, Spark, and cloud technologies (Azure/AWS) to develop scalable data solutions.

The position involves working in self-managed, multidisciplinary teams following Agile methodologies. You'll be responsible for designing and implementing data architectures, developing ETLs, and building scalable pipelines. The role requires strong technical expertise in big data processing and cloud technologies, with opportunities to work on diverse projects from inception to delivery.

Plain Concepts offers an excellent work environment with a 35-hour work week, full remote options, and comprehensive benefits including medical insurance, training budgets, and work-life balance perks. The company has a strong technical DNA, focusing on custom development projects rather than outsourcing, and maintains a flat, horizontal organization structure.

The ideal candidate will have at least 4 years of experience in data engineering, strong skills in Python or Scala with Spark, and solid cloud experience. They should be passionate about technology, collaborative, and ready to contribute to a culture that values innovation and technical excellence. The company has a global presence with 14 offices across 6 countries, offering opportunities for international exposure and professional growth.