Join our AI & Data team and play a key role in creating innovative artificial intelligence solutions. We are looking for people who are passionate about new technologies, want to have a real impact on product development, and enjoy working in a dynamic, inspiring environment. If you want to implement AI solutions that transform the way our customers work, this position is for you!

Your scope of duties:

• Design and implementation of ETL processes;
• Integration with relational databases and opensearch;
• Use of LLM models for document parsing;
• Creation of unit tests and project documentation;
• EY.AI - in this role, your capabilities are augmented by artificial intelligence. With AI-powered solutions your analyses, insights and innovative ideas will reach a higher level. Starting with a series of training sessions, you will then use EYQ - your virtual assistant, along with other unique tools often available exclusively at EY. We continuously invest in innovation to provide you with a work environment where you can focus on the most interesting aspects of your job and create the best solutions for clients.
  
  

Our requirements:

• Completed higher education (preferred fields of study include computer science, mathematics, statistics, or related fields);
• Very good knowledge of Python and relational databases;
• Experience in implementing ETL flows;
• At least 5 years of experience as a Data Engineer;
• Experience in agile methodologies and working with tools that support team collaboration in task prioritization (ADO), code creation, version control (GIT), and documentation;
• Passion for creating complete Data Science solutions/products;
• Ability to communicate technical content in an accessible manner;
• Good knowledge of English and Polish, both spoken and written;
• Unix/Linux.
  
  

We will also appriciate:

• Experience in implementing ETL flows in distributed systems;
• Ability to work in a container environment (Docker, Kubernetes);
• Knowledge of MS Azure, GCP – mainly in terms of model usage;
• Knowledge of ETL tools Apache Airflow, SSIS, and PostgreSQL and MS SQL databases;
• Knowledge of concepts related to machine learning and artificial intelligence.