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Data Engineer

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Timo Plus is looking for an experienced and talented Data Engineer to manage our data and help us grow to millions of customers. As a key member of our Data Engineering team, you will be designing data pipelines, warehouses and data models for a high volume data environment. Using Cloud and open-source technologies, such as Kafka, Airflow, Spark, Flink etc, you will design and build our next-generation ETL pipelines and data models.


  • Build advanced data pipelines and python-based based ETL tools for manipulating and consuming data.
  • Develop data models and schemas in our data stores that allow for better business insights.
  • Work with our application engineering team to integrate data views in our customer-facing applications.
  • Handle the challenges that come with managing terabytes of data.
  • Collaborate with business leaders and analysts to define key metrics and build reporting to monitor and understand company performance.
  • Develop the server applications and APIs that are used by our Data Team.


  • You have 3+ years of experience as a data engineer, business intelligence analyst, or in a highly analytical role.
  • You have 3+ years of experience with a scripting language (preferably Python) for data processing and analysis.
  • You have experience designing SQL tables, choosing indexes, tuning queries, and optimizations across different functional environments.
  • You have experience with Machine Learning and relevant tools & libraries.
  • You have experience writing complex SQL queries and using BI tools.


  • You have a passion for sharing the value of data and communicating insights to a broad audience with varying levels of technical expertise.
  • You have experience with data lakes and designing and maintaining data solutions using platforms/frameworks such as Spark etc.
  • You have experience using Cloud-based data services such as BigQuery or Redshift etc.
  • You have experience administrating, ingesting, and monitoring data in data warehouses.
  • You’re a self-learner that can work in a highly dynamic environment.


  • Negotiable and competitive salary package
  • 15 paid Annual leave
  • Company Healthcare
  • Government social, medical and unemployment insurance
  • Training opportunities
  • Monthly mobile phone expense
  • Free parking card
  • Company Trips and Gatherings

Employment type: full time