Data Engineer (Zurich, Switzerland)

Who We Are Established in 2017, Unit8 is a rapidly expanding Swiss AI and data analytics consulting and services company dedicated to solving the complex problems of traditional sectors such as automotive, chemical, financial services, manufacturing, and pharma. We collaborate with some of Europe's largest organizations to tackle the challenges directly impacting their business - whether it’s operations, finance, manufacturing, or R&D. Since our inception, we have successfully concluded over 135 projects and expanded to more than 100 skilled individuals spread across five office locations. Unit8's mission is to foster the adoption of AI and Data Science in conventional industries and accelerate their digital transformation. Alongside its main operations, Unit8 allocates a proportion of its resources and time to projects that hold significant meaning to us - including collaboration on pro-bono and "engineering for good" causes. You can uncover more about our passions at Unit8 Talks, and our website offers more valuable information about our business and recruitment process. These are some examples of projects we have been working on: - Constructing a real-time production line monitoring system to enhance the throughput of production processes within the Pharmaceutical Industry. Technologies: AWS, EKS, CloudFormation, Docker, Python. - Creating a system to calculate and deliver global climate scores i.e., gauging 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 - Developing a modern data science platform, including a data lake for the Chemical Industry. Technologies: Azure, ML Studio, Data Factory, Databricks, Spark. Requirements About You As a member of agile project teams, your mission will be to build solutions and infrastructure aiming to solve our clients' business problems. - You are a proficient software engineer who understands the fundamentals of computer science and masters 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, and having 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 on 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 will arise every single day. - Work in multi-functional 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 variety of projects, industries, and technologies. Each client is different - Ability to contribute to internal open-source projects like Darts (https://github.com/unit8co/darts) or building 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 fast-growing service company with a start-up atmosphere. - Work with an international team made of more than 15 nationalities. - Cross offices/company-wide frequent 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 company's performance - 30 paid days off. - Extended parental leave conditions.