Data Engineer

Welcome to Revenue AI Careers!

We want to revolutionize Revenue Management (RM) by augmenting the business teams of tomorrow with the exponential capabilities of a new Digital Assistant. We call it RAI. Are you ready to push the boundaries of AI?

To apply for the position, send your Resume / CV to

Revenue AI combines Decision Making and Artificial Intelligence to create a smart “Digital Assistant” capable of exponentially enhancing Revenue Growth Management (RGM) initiatives in a globally scalable environment.

By joining the Revenue AI team, you will become significant player in a next-generation tech startup with international opportunities. Rev.AI executive board includes top RM pros, complemented by the operations and development teams located primarily in Sweden, Switzerland, Central Europe and North America.

Let’s talk benefits: you can live and work anywhere, we are fully Home-officed! Your “virtual presence” is only required for online meetings, so there are no limiting factors to your flexible schedule. You get to enjoy the extra comfort, a healthier diet, and higher productivity. Say goodbye to stress and lengthy commutes! Plus you’ll help reduce carbon emissions.

Our Digital Assistant – RAI – is destined to become an Exponential Technology by enabling Cross-Functional teams to make business decisions using Real-Time data at Global Scale. Historically, RM processes could take 5-7 months to achieve acceptable levels. With RAI, we can decrease this to a single month. Our modules support organizations in the CPG, Retail and Lifesciences industries. We believe every industry can use data to respond in real-time to their business challenges. Our focus is to make it happen for anyone.

By joining us, you will be part of a visionary team of Trend-challengers, reimagining the way Revenue Management is being utilized in global organizations. Also, you will be at the forefront of learning and applying the hottest technologies:

  • Global organization strategy
  • Revenue management
  • Artificial intelligence
  • Intelligent assistants
  • Big Data, data & analytics, and predictive analytics



  • Understanding business challenges around the Revenue management space
  • Identification, organization, and ingestion of data, spread across multiple sources (operational, analytical, and reporting)
  • Analyze and organize raw data
  • Build data systems and pipelines in collaboration with stakeholders and team members to analyze user needs and develop data integration solutions.
  • Evaluate business needs and objectives and adhere to data architecture strategy, best practices, standards, and roadmaps
  • Conduct data assessment, perform data quality checks, transform and load raw data using SQL and ETL tools.  Your work will contribute to the overall implementation of product solutions
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Technical capability to develop and implement data identification, ingestion and integration solution Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects


  • Previous experience as a data engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Java and Python)
  • Hands-on experience with SQL database design
  • Great numerical and analytical skills