AI Data Engineer
EY
Job Overview
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Job Description
AI Data Engineer at EY
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!
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.
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;
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 appreciate:
- 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.
What we offer:
- Professional and financial support in obtaining recognised qualifications and certificates;
- EY Badges - global certification of your competencies and the opportunity to earn an MBA title from the prestigious Hult University;
- Career Counselor - professional, one-to-one guidance on career building and development;
- Innovate EY – unique programmes where you can create your own start-up using our know-how and funding;
- Psycho-educational platform - a package of free consultations with specialists in the broad field of mental health and personal development and access to educational activities;
- A convenient hybrid working model;
- Benefit programme offering private healthcare with additional preventive examinations, life insurance, tickets, team sports, language learning platform, sports cards and much more (available online and offline).
Key skills/competency:
- ETL processes
- Python
- Relational Databases
- LLM models
- Data Engineering
- Agile methodologies
- GIT
- Azure/GCP
- Distributed Systems
- Machine Learning
How to Get Hired at EY
- Research EY's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Highlight Python, ETL, LLM, and distributed systems experience for AI Data Engineer roles.
- Showcase technical prowess: Be prepared to discuss relational databases, Unix/Linux, Docker, and cloud platforms like Azure/GCP.
- Master behavioral questions: Emphasize problem-solving, teamwork, communication, and a passion for AI.
- Network effectively: Connect with EY employees on LinkedIn to gain insights into their teams and projects.
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