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data engineer in insurance

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вакансия зп не указана
в среднем 305 503 ₽
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описание

ERGO Technology & Services S.A. delivers integrated IT and business services to international markets, providing modern technology solutions and supporting insurance processes across finance, operations, and underwriting.

задачи

  • Develop and implement strategic digitalisation projects using AI across the insurance value chain;
  • Prepare and integrate large volumes of structured, semi-structured, and unstructured data from diverse sources for (Gen)AI solutions;
  • Contribute to the productive deployment and operation of machine learning and (Gen)AI solutions through MLOps;
  • Design, implement, and operate scalable data-management and (Gen)AI solutions in cloud environments;
  • Support and advise operational units on using project results for the development and enhancement of machine learning and (Gen)AI applications.

требования

  • Fluency in English and German;
  • University degree in natural sciences, applied mathematics, computer science, business informatics, or a related field;
  • Sound knowledge and experience in data modelling and data visualization;
  • Experience with scalable data management concepts, standardized ETL processes, and data pipelines;
  • Practical experience putting data management and MLOps into production;
  • Knowledge of one or more programming, scripting, and database languages, such as Python, Spark, or SQL;
  • Experience with version control systems and cloud technologies, such as GitHub, Azure, or AWS;
  • Willingness to innovate and work proactively in a networked manner;
  • Experience designing and implementing data- and AI-driven solutions based on classical ML models, LLMs, RAG architectures, and agent-based systems;
  • Willingness to travel;
  • Nice to have: industry experience in insurance.

условия

  • Medical package, sports card, and sports sections;
  • Flexible working hours;
  • Confidential employee assistant program;
  • Remote working is available;
  • Workshops, training courses, hackathons, meetups, digital learning platforms, and language courses;
  • CSR activities and team-building events.

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