Data Engineer (Lausanne, Switzerland)

Who We Are Established in 2017, Unit8 is a rapidly expanding Swiss AI and data analytics consulting and services firm, committed to resolving complex issues of conventional sectors such as automotive, chemical, financial services, manufacturing, and pharma. We collaborate with some of Europe's largest organizations to tackle challenges that directly influence their business - whether it's in operations, finance, manufacturing, or R&D. Since our establishment, we have successfully delivered over 135 projects and have expanded to more than 100 skilled individuals across five office locations. Unit8's mission is to foster the adoption of AI and Data Science in non-digital sectors and to aid in accelerating their digital transformation. Among its various activities, Unit8 allocates part of its resources and time to projects of great significance to us - this includes contributions to pro-bono and "engineering for good" causes. You can find more about what we are passionate about at Unit8 Talks, and on our website you can discover more valuable information about our business and recruitment process. Here are some examples of projects we have worked on - Constructing a real-time production line monitoring system for the pharmaceutical industry to enhance the efficiency of production processes. Technologies utilised include AWS, EKS, CloudFormation, Docker, Python. - Developing a system for calculating and delivering global climate scores i.e., estimating the impact of climate change on the risk of natural disasters (e.g., floods, wildfires, and droughts) for the insurance industry. Technologies utilised include PySpark, Python, Proprietary Data Processing Platform. - Building a modern data science platform, including a data lake for the chemical industry. Technologies utilised include Azure, ML Studio, Data Factory, Databricks, Spark. Requirements About You As a member of agile project teams, your task will be to build solutions and infrastructure intended to solve our clients' business challenges. - You are a proficient software engineer who understands the fundamentals of computer science and you excel in 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, ideally 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 audiences), delivering presentations, and have a 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). What You’ll Do - Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied upon for both production and analytics applications, using a variety of open-source and closed-source technologies. - Help drive optimization, testing, and tooling to improve data quality. - Collaborate with other software engineers, ML experts, and stakeholders, taking learning and leadership opportunities that arise every single day. - Work in multifunctional agile teams to continuously experiment, iterate and deliver on new product objectives. Benefits What we offer - Work on client projects that have a concrete impact on their business. - Exposure to a wide array of projects, industries, and technologies. Each client is different. - Opportunity to contribute to internal open-source projects like Darts or build our own MLOps platform. - Tailor-made mentorship programme. - Learning activities such as ML and Engineering Knowledge Sharing Groups. - 10% of paid time for self-development. - Opportunity to join a rapidly expanding service company with a startup atmosphere. - Work with an international team composed of over 15 nationalities. - Frequent cross-office/company-wide events (off-site or online). - Fun Fund to spend with the team on after-work activities. - Compensation package including base salary and profit sharing based on the performance of the company. - 30 paid days off. - Extended parental leave conditions.