Junior Data Engineer

• Maintain and develop the data and modelling environments and integrate new data sources to it
• Writing and improving data pipelines which load data in our data lake and transform it to the Feature store
• Ensuring all data is available in the right format and reliable quality
• Working on improvements of the quality of data as well as challenges as data shift and concept drift
• Testing Data pipelines at staging environments and deploying them at production
• Writing proprietary packages / frameworks to be used for internal purposes to make the standard tasks easier (such as data load, model testing, exploratory data analysis, etc.)
• In collaboration with ML Engineers and Data Scientists taking part in A/B testing and monitoring solutions

• Python / pandas / pyspark
• Experience with building data-powered solutions
• Experience with building cloud based solutions
• Experience with development, deployment and monitoring of data and machine learning solutions
• Strong coding skills (clean and commented code, version control, documentation) and usage of AI to boost codding performance
• Knowledge about big data infrastructure
• Knowledge and interests in DataOps and MLOps – namely development, testing, deployment and monitoring of data and ML solutions
• using tools like MLFlow, KubeFlow, AirFlow or similar
• Git and Docker
• Interest in data science, machine learning, and forecasting is a big plus

Interest in data science, machine learning, and forecasting is a big plus

• 25+ days off, as well as birthday day off and 4 charity days off per year
• Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
• Team-centric atmosphere
• Encouraging healthy lifestyle and work-life balance including supplemental health insurance
• New parents bonus scheme