AI Data Engineer
EY•Gdańsk +7
⭐ Nieznany📄 other
💰 Wynagrodzenie
Widełki nieujawnione
📋 Informacje
LokalizacjaGdańsk +7
Tryb pracy—
Etat—
DoświadczenieNieznany
Min. lat doświadczenia5+
Typ kontraktuOther
Kategoriait
📝 Opis główny / Wstęp
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:
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.
- 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.
- 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.
📡 Metadata statystyk
Źródłolinkedin
Slug / IDgdansk-7-ai-data-engineer-ey-eb1baa
Opublikowano19 marca 2026
Wygasa—
Pobranie (Ingest)21 marca 2026