
Data Engineer @
1 day ago
As a member of agile project teams, your mission will be to build solutions and infrastructure aiming at solving the business problems of our clients.
- You are a proficient software engineer who knows the fundamentals of computer science and you master at least one widely adopted programming language (Python, Java, C#, C++).
- You know how to write distributed services and work with high-volume heterogeneous data, preferably with distributed systems such as Spark.
- You are knowledgeable about data governance, data access, and data storage techniques.
- You have strong client-facing skills: comfortable interacting with clients (business & technical audience), delivering presentations, problem-solving mindset.
- You are willing to travel to meet with our clients and the team (mainly in Europe - up to 10% of your time).
- You are eligible to register as a sole trader (self-employment) in Poland. Don't worry if you don't know how to do the registration, we can help with that.
Who We Are
Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 155 projects and have grown to 100+ talented individuals across 5 office locations.
Unit8's mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and "engineering for good" causes. You can learn more about what we are passionate about at Unit8 Talks and on our website you can find more useful information about our business and recruiting process.
These are some examples of projects that we have been working on
- Building a real-time production line monitoring system for the pharmaceutical industry in order to improve the throughput of the production processes for the Pharmaceutical Industry. Technologies: AWS, EKS, CloudFormation, Docker, Python
- Building system for calculating and delivering global climate scores i.e. estimating the impact of climate change on the risk of natural disasters (i.e. floods, wildfires & droughts) for the Insurance Industry. Technologies: PySpark, Python, Proprietary Data Processing Platform
- Building a modern data science platform including a data lake for Chemical Industry. Technologies: Azure, ML Studio, Data Factory, Databricks, Spark
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