We are looking for a Data Engineer to join our growing engineering team in Athens. The role will be mainly around Cloud Data Engineering/Data governance aspects and primarily, in technologies of the Azure Cloud Data Ecosystem
Who We Are
Incelligent provides Big Data and AI-powered software solutions to help large corporations achieve digital transformation. By following best practices in data-driven development, Incelligent has managed to systematically incorporate the latest advances in Big Data, Analytics and Artificial Intelligence (AI)/ Machine Learning (ML) technologies in its product research and development processes, resulting into a diverse product portfolio that includes out-of-the box and production-ready, AI/ ML solutions, tailor-made for both the Enterprise (such as Telecommunications, Banking, Energy, Real Estate...) and Public (such as Revenue, Customs Authorities) sectors.
Requirements
Minimum Requirements
Other qualifications
Benefits
Commitment to Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, or other characteristics. We respect your personal data.
All personal information in your application and CV will remain strictly confidential.

INCELLIGENT is an Athens-based Data Analytics company established in 2014 with the aim to productize Big Data and AI for optimizing operations and processes in the Telecom, Fintech and Public Sectors.
Incelligent is developing Analytics Solutions and Products and offers Services based on the following principles:
• Readiness in dealing with Big Data, in all steps of the data pipeline covering, ingestion, pre-processing and processing, in both batch and streaming modes
• Continuous prototyping of State-of-the-art Machine Learning algorithms and their proper preparation to be delivered and integrated into production environments
• Highly modular, modern design based on microservices for fast and flexible deployment cycles
• Best practices in Data Ops for perfect alignment of Software Development with Data science lifecycles
• Carefully selected Open Source technologies, the ones with greater potential and support, that lead to low cost but efficient solution
All the above with the ultimate goal to satisfy our customer’s real needs & pains
Incelligent’s people is a great mixture of highly skilled professionals that include more than 20 Data Scientists/Machine Learning Engineers, Big Data Architects/Engineers. Software Engineers/Developers but also a management team of >20 years of experience in R&D and Commercial activities. The team has excellent understanding of its technology domain, exhibits a huge academic record in intelligent systems and data-driven optimization (publications, standardization & patents), has experience gained through referenced commercial deployments and most importantly shares the passion about data and AI technology.