Summary: Design, build, maintain, and troubleshoot data pipelines and processing systems, collaborating with agile teams to solve client business problems and improve data quality. Highlights: 1. Opportunity to contribute to a leading Swiss data AI consultancy 2. Exposure to a wide variety of projects, industries, and technologies 3. Work on client projects with concrete business impact Data Engineer 1\. 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 2\. What You ll Do Unit8 is growing at a fast pace and your role can evolve and will depend on our clients challenges. As a member of agile project teams, your mission will be to build solutions and infrastructure aiming at solving business problems of our clients. **In general, you will:** * Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications, using 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. Interact with our clients to understand their data\-related challenges and related tech and business questions they need to answer. 3\. About you 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. 4\. What We Offer * Opportunity to contribute to the growth of one of the leading Swiss data AI consultancies * Chance to establish and grow Unit8 s footprint in Spain * 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 () or building our own MLOps platform. * Since we do not yet have an office established in Madrid, the initial months will be fully remote. However, our long\-term goal is to transition to a hybrid working model (2 days/week from the office). * Flexible working hours * Dedicated budget for training * Work with an international team made of more than 15 nationalities. * Cross offices/company\-wide frequent events (off\-site or on\-line). * 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 * You are a proficient software engineer who knows the fundamentals of computer science and you master the Python programming language. * 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 understand the value of teamwork * You are willing to travel to meet with our clients and the team (mainly in Europe \- up to 15 of your time). * An ideal candidate is fluent in English (mandatory) and fluent in Spanish Since we do not yet have an office established in Madrid, the initial months will be fully remote. However, our long\-term goal is to transition to a hybrid working model (2 days/week from the office). Python, Foundry, AWS, Azure