- 5+ years of experience as a Data Engineer, with a focus on data pipeline development and application development
- Proficiency in version control systems such as GIT
- Strong programming skills in Python and SQL
- Extensive experience with Secure IoT principles and practices is a must (1-2 years min.)
- Bachelor’s degree in Computer Science, Engineering, or related field
- Technical expertise in data modeling, data mining, and segmentation techniques
- Familiarity with DevOps processes and practices
- Solid understanding of object-oriented languages and paradigms
- Multinational environment
- 3 days home-office possibility
- Competitive salary and cafeteria package
- Career opportunities: promotion opportunities, exposure to new areas
- Private health insurance
- Extensive training, over 1000 training opportunities
- Relax rooms
- Free gym membership and community events
Our partner is one of the world’s leading IT services companies, supporting its customers’ business, operational and technology models. Due to expansion, the company is now offering an exciting new opportunity for a candidate with IT experience in the following role: Senior Data Engineer with Python
As a Senior Data Engineer, you will play a crucial role in developing and maintaining data pipelines and systems for our Smart Buildings IoT platform. We are seeking a highly skilled individual with extensive experience in data engineering, application development, and a strong understanding of Secure IoT principles. The ideal candidate will have a proven track record of collaborating with cross-functional teams and delivering innovative solutions in a fast-paced environment.
What the company offers:
,[Designing, developing, and maintaining data pipelines and systems for the Smart Buildings IoT platform, as well as existing building management solutions, Engaging in close collaboration with internal and external stakeholders, subject matter experts, and key decision-makers to elicit requirements and define data pipelines and systems, Gathering, analyzing, and deriving insights from diverse data sources such as Fault Detection Diagnostics, Indoor Air Quality metrics, People Counting data, and Occupancy Analytics, Fine-tuning and precisely documenting the technical intricacies of data solutions pertinent to Smart Buildings, IoT applications, and Operational Technology (OT) domains, Proactively troubleshooting problems, identifying bugs, and implementing timely solutions to ensure smooth operation of data pipelines and systems, Coordinating efforts with Solution Architects, Systems Analysts, and Business Analysts to craft and deploy scalable and streamlined data solutions] Requirements: Git, Python, SQL, Secure IoT, Degree, DevOps, Data modeling, Data mining, Segmentation Additionally: International projects, Home office, Cafeteria package, Promotion opportunities, Private health insurance, Extensive training, Free gym membership, Relax rooms, Community events.
DevOps Git data-modeling SQL data-mining Python Segmentation Data Engineering