Must have

• Data Engineering

• Team player

• Problem solving

• Distributed Systems

• Data Modeling

• hadoop

• Python

• SQL

• Storage

• CAN

• Client-facing

• AWS

• Kafka

• Docker

• Amazon Web Services

• Data engineering

• Git

• Airflow

• GCP

• Azure

• Databricks

• Java

• Scala

• LLM

• GenAI

• Artificial Intelligence

• English (C1)

Nice to have

• Polish

Requirements description

About You

• MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
• You are a proficient software engineer who knows the fundamentals of computer science and has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
• You have a programming experience i n one of the following languages: Python, R, Scala, Java.
• Experience with cloud technologies is a strong plus
• Pragmatic attitude; you are not afraid in taking an active part in the engineering aspects of projects.
• Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields.
• You understand the value of teamwork.
• 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.

Offer description

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 200 projects and have grown to 140+ 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 to improve manufacturing throughput. 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

Your responsibilities

1. Depending on the project, the role may involve working on diverse areas such as cloud engineering and infrastructure, data engineering and ETL (Extract, Transform, Load), as well as machine learning and data science.
2. Work with our customers to understand their challenges, design and implement solutions.
3. Evaluate, compare and present results to technical and non-technical audience.
4. Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
5. Closely collaborate with other data scientists, software engineers and business stakeholders.
6. Use software best practices in continuous integration and delivery, versioning and data evolution.

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