Senior Data Engineer with German | f/m/d

Ergo Group Ag — Poland · Posted ~2 hours ago

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Description

About Us ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities. How you will get the job done developing and implementing strategic digitalisation projects to gain sustainable competitive advantages through the use of AI across the entire insurance value chainpreparing and integrating large volumes of structured, semi-structured and unstructured data from diverse sources to make them usable for (Gen)AI solutionscontributing to the productive deployment and operation of machine learning and (Gen)AI solutions (MLOps), with a focus on use cases based on structured, semi-structured and unstructured data, including the integration of (Gen)AI applications and processesdesigning, implementing and operating scalable data-management and (Gen)AI solutions for the use of structured, semi-structured and unstructured data in cloud environmentssupporting and advising operational units in using the results of this work, in particular for the initial development and further enhancement of machine learning and (Gen)AI applications, in order to realise the expected added value and generate competitive advantages Skills and experience you will need fluency in English and Germanuniversity degree in natural sciences, (applied) mathematics, computer science, business informatics or a related fieldsound knowledge of and experience in data modelling and data visualization, with a strong focus on scalable data management concepts – including experience with standardized ETL processes and data pipelines – as well as practical experience in putting these and MLOps into productionsound knowledge of one or more programming, scripting and database languages (e.g. Python, Spark, SQL), as well as experience with version control systems (e.g. GitHub) and cloud technologies (e.g. Azure, AWS)willingness to innovate and a proactive way of working, combined with the ability to think and act in a networked manner, in order to lay the foundation for the development and production deployment of (Gen)AI and LLM technologiesexperience in designing and implementing data- and AI-driven solutions based on classical ML models, LLMs, RAG architectures and agent-based systemspreferably industry experience in insurancewillingness to travel What we offer 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!