Data Engineer for Process Mining

• conducting technical implementation in Celonis, including data transformation and dashboard application development
• translating business needs into technical specifications and develop customer-specific process mining solutions for our insurance processes
• acting as strong link between the IT experts and business owners, working closely with them to ensure a comprehensive understanding of the business processes, their business goals, and the underlying data
• solving different kinds of machine learning and data challenges using Python and SQL, enabling a correct visualization and analysis of internal processes in Celonis
• leading the project in the technical phase covering project management tasks and presenting status updates to management

Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

• fluency in English
• university degree in Computer Science, Mathematics, Statistics, Data Science, or a related field
• minimum 2 years of experience and solid knowledge of programming languages such as Python and R for data analyses and model optimization, as well as experience with data visualization tools such as Tableau/Power BI, SAS Viya, and cloud technologies (e.g., Azure, AWS, DataBricks)
• practical experience in developing and implementing machine learning models, including knowledge of MLOps and CI/CD processes
• strong analytical skills and experience in handling large amounts of data, both structured and unstructured, and in processing them
• proactive approach, and strong communication skills in interdisciplinary teams, as well as experience in agile working environments

Nice to have

• good written and spoken German skills