Revenue.AI combines Big Data and Artificial Intelligence to create a smart “Digital Assistant” capable of dramatically enhancing Revenue Growth Management initiatives in organizations of any size. Presently, our modules support organizations in the CPG, Retail, and Commodity Trading.  We believe that every industry can exploit the available data to respond real-time to their business challenges and we are focusing on making it happen for anyone.  We’re currently looking for a Senior Data Engineer to join our organization. You will be focused on co-design and develop our cloud-based SaaS solutions. You will be also collaborating to a wide range of FMCG and Commodity Trading clients interested in Data engineering consulting services. You will interact with a group of professionals to elicit business, architectural and non-functional requirements and translate them into robust, scalable, operable analytical solutions that work well within the overall data architecture. Design applications based on identified architecture, technology landscape, IT standards, and enterprise roadmaps; support implementation of design by resolving complex technical issues faced by the project team during the full development cycle. Role overview -Analyse database designs and enhance the models to support business use cases. -Design and build data pipelines according to requirements and company best practices. -Present the findings in a clear and informative way. -Convert large volumes of structured and unstructured customer data using advanced analytical solutions. -Turn analysed data into actionable insights and business value. -Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters  -Educate and train others on Data engineering related matters. -Estimate, plan and coordinate the delivery of large projects following the Scrum framework  -Create Data Science solution architecture. We believe that you’ll enjoy this role if -Aptitude for problem solving -Excellent communication and teamwork skills -Great attention to detail -Familiarity with Agile methodologies -Startup experience -Remote work experience

-Programming experience (Python preferred). -Fluency with logical and physical Database models and complex SQL views, familiar with modelling tools. -Data focused applied mathematics (statistical analysis, machine learning). -Big Data stack; Spark / MLlib. -Proficient in data staging using ADF (Azure Data Factory) or Synapse. -Profound SQL skills. -Cloud: Azure – Storage; Compute; Notebooks; PurView. -CI/CD principles & tools (e.g. Azure Devops). -Platforms: Linux, Windows. -Version Control Systems (e.g. Git). -Hands on experience in delivering scaled solutions. -Working English fluency. -Master’s Degree in Economics, Computer Science, Math, Applied Statistics or a related field with 3 to 5 years relevant experience.

-Domain understanding (Commodity trading, CPG, Retail or Life sciences) and ability to acquire new domain knowledge. -Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc.