Senior Data Engineer | f/m/d

ERGO; Województwo mazowieckie; Híbrido; PLN 240.000 - 380.000; Jornada completa

Descripción de la vacante

ERGO Technology & Services S.A. (ET&S) is hiring for a data & AI engineering role focused on AI-enabled insurance value chains. You will develop digitalisation projects, integrate large data volumes for GenAI, and deploy ML/MLOps pipelines in production across cloud environments.

The role requires strong English, a relevant degree, and experience with data modelling, ETL, and GenAI architectures. Some travel may be expected.

Formación

• University degree in natural sciences, (applied) mathematics, computer science, business informatics or related field.
• Experience with data modelling, data visualization and scalable data management concepts.
• Knowledge of ETL processes, data pipelines and production ML / MLOps.

Responsabilidades

• Develop and implement strategic digitalisation projects using AI across the insurance value chain.
• Prepare and integrate large volumes of structured and unstructured data for GenAI solutions.
• Deploy and operate ML/GenAI solutions (MLOps) in production and integrate GenAI apps.

Conocimientos

Fluent English

Data modelling

Data visualization

ETL pipelines

MLOps

LLMs

RAG architectures

Agent-based systems

Python

Spark

SQL

Educación

University degree in natural sciences, (applied) mathematics, computer science, business informatics or related field

Herramientas

GitHub

Azure

AWS

Descripción del empleo

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 chain
• preparing and integrating large volumes of structured, semi-structured and unstructured data from diverse sources to make them usable for (Gen)AI solutions
• contributing 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 processes
• designing, implementing and operating scalable data-management and (Gen)AI solutions for the use of structured, semi-structured and unstructured data in cloud environments
• supporting 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
• university degree in natural sciences, (applied) mathematics, computer science, business informatics or a related field
• sound 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 production
• sound 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 technologies
• experience in designing and implementing data- and AI-driven solutions based on classical ML models, LLMs, RAG architectures and agent-based systems
• preferably industry experience in insurance
• willingness to travel

Nice to have

• fluency in German

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!