Using Tempo to smartly optimize Time Series IoT data for Analytics & AI

Your role

Time series is data coming from IoT sensors, smart meters, or digital events. It is raw data generated - continuously every couple of minutes or seconds - in a production plant, a connected factory but also a digital app or website. However, time series data is often messy and not easy to translate into usable features for predictive models.
With Tempo, Databricks (Labs) is introducing a smart way to build transformations on top of times series data. It offers an opportunity for us to leverage this framework into smarter and better of time series features for ML predictive models such as demand forecasting & anomaly detection. 


Your profile


In this traineeship, the student will

  1. work with Python, Spark, Azure Cloud & Databricks on the Tempo framework introduced by Databricks research to apply it on a real-time use-case with the objective to qualitatively & quantitatively validate how to make smart & performant time-based features for Machine Learning & Analytics
  2. work hands-on with Time series data and leverage and test Tempo to accelerate colleagues & peers on leveraging it in analytics applications

This traineeship will combine both the technical perspective as well as the business perspective on how to quantify/measure & monitor data quality.
The student will be able to work with state-of-the-art technology while using this on a real-life use case.

As a trainee, we expect you to:

  • Translate your academic knowledge into business solutions & a first hands-on experience;
  • Do data development using Python, SQL in Azure and Databricks;
  • Show your documentation and reporting skills through presentations and demo’s;
  • Show creativity and out-of-the-box thinking in this challenging use-case.

What are we looking for:

  • Character: customer-oriented, able to work in a team, keen to create something new in international teams;
  • Working Practice: analytical, structured and result-orientated;
  • Passionate about analytics, machine learning technology & applications and eager to learn;
  • Enthusiasm to be part of a growing team & industry.

Language: working level English

Interested to find out more ? Send us your profile and motivation at