Senior Data Engineer

Belgrade

Your responsibilities will include:

• Concept, implementation, and responsibility for data management, e.g. architecture, data quality, master data management and data lifecycle management
• Integration of requirements of Business Intelligence and Advanced Analytics (e.g. synergies between classical data warehousing and big data platforms)
• Extract and prepare data from source systems and provide to data analysts and data scientists in a data hub with extensive ETL workflows, for data provisioning in dashboards, machine learning and statistical models
• Data modeling and transformation in tools like Alteryx, R and Python
• Optimization of the data science infrastructure with regard to performance, versioning and data field catalogs
• Construction, operation, and quality assurance of an analytical data warehouse
• Align architecture with business requirements.
• Data acquisition. Automation of manual processes. Identify ways to improve data reliability, efficiency and quality.

Your qualifications:

• Bachelor's degree in computer science, applied mathematics, engineering or a related discipline with an information technology focus
• Minimum five years of experience in analytics’ architecture management and the implementation of technology
• Proven experience in data analytics, data transformation and data visualization
• Proven experience with ETL tools e.g. Alteryx, SSIS
• Proven experience in data warehousing solution
• Demonstrated practice in SQL, Linux-Shell and Python or R or Scala

Experience in the following areas is an advantage:

• Knowhow of ERP data models and business intelligence applications, as well as specialist knowledge in one of the areas of finance, production, supply chain management, IT, marketing or purchasing
• Data visualization tools e.g. Tableau, MS Power BI, Qlik Sense
• Machine learning and data mining tools, e.g. TensorFlow
• Data extraction from SAP ERP systems
• Fluent language skills in English

Soft skills:

• Very good analytical thinking skills, high affinity for numbers and a quick grasp of ideas
• Analytical in his or her approach to problem solving with a focus on managing in a team environment with attention to results and with a sense of urgency
• Excellent organizational skills
• Very good strategic, solution and cost-oriented thinking