Data and AI Solutions Engineer

at  EY

The Technology Consulting team works with world’s best-known large domestic and global: financial institutions, broker-dealers, foreign banking organizations, asset management and insurance companies, who trusted us to assist them with large scale transformation program delivery challenges.
This is an opportunity to be a part of a growing Data and Analytics team alongside Business Analysts, Developers and Testers with plenty of autonomy and variety in this role. We work with large, distributed data, pipelines, database tuning for efficient analysis and table schemas creations using extract, transform, load methods to deliver trustworthy and timely data to business executives and analysts and other end users so they can improve business operations. We’re looking for a technical practitioner open to learn new things and take up new opportunities in a multinational work environment.
You will contribute in providing exceptional subject matter expertise and solving complex problems to make a difference for our Clients. Colleagues and Clients from a diverse array of backgrounds will look to you first for answers, so you’ll be a high-profile contact when it comes to resolving complex issues. As you expand your knowledge and experience. You’ll become a credible advisor, influencing Clients and engagement teams on resolutions that will impact entire industries. We are looking for Candidates who will strengthen our Technology Solutions Delivery Team in Poland. We welcome skilled data engineers willing to contribute to Data & Analytics team in designing, developing, and implementing data solutions. We will appreciate when You are willing to take initiative and seek out opportunities to grow a global data engineering team as well as, in defining and enforcing data engineering best practices. If you’re serious about progressing and ready to solve our clients’ most complex issues, this role is for you.
We are looking for Candidates who will strengthen our Technology Solutions Team in Poland. We welcome experienced professionals willing to develop in Data & Analytics area. We’re interested in professionals with a genuine interest to contribute to the growth of the Data capability with strong focus on Gen AI / LLMs

OUR REQUIREMENTS:

• Very good English language in verbal and written communication.
• Willingness to develop in Data & Analytics and Gen AI space.
• Excellent collaboration skills to interact with teammates and other stakeholders.
• Ability to plan, track, and report the status of the deliverables.
• At least a bachelor’s degree, preferably in engineering, computer science, or similar.
• 2-6 years of experience in building data and analytics applications, systems analysis role, gathering requirements, data modeling.
• A strong understanding of data structures, databases, data lakes, and data ingestion and transformation routines.
• Knowledge of Big Data with a focus on data engineering; optimizing data, pipelines, ETLs.
• Advanced knowledge of query languages (SQL).
• Coding and development skills in programming languages (e.g., Python, PySpark).
• Experience implementing production-level deployments at an enterprise scale, understanding of DevOps/DataOps principles, working knowledge of Git.
• Working knowledge of data visualization/reporting tools such as PowerBI.
• Experience in building applications using LLMs (foundation models, APIs, frameworks, prompt engineering, and techniques).
• Experience in building modern application architecture (microservices, REST API, Kubernetes containers).
• Proficiency working in an Agile environment.

• Designing and building new functionalities and solutions to client use cases, utilizing your extensive experience in Cloud technologies (e.g., Storage Accounts, Databricks, Data Factory, Logic Apps, Azure Functions, Azure Synapse).
• Building the data platform required for optimal loading and processing of data from a wide variety of data sources.
• Data modeling and mapping between source and target systems.
• Acting as Subject Matter Expert for Testers, Developers, and Business Users in Data solution functionality.
• Defining and estimating the scope of work needed for the implementation of data systems.
• Gathering, documenting, and validating business requirements for Data systems (Data Lake, Data Warehouse, Business Intelligence, other analytical applications).
• Collaborating with team members, mentoring other data engineers in the team to plan, develop, and implement project activities to achieve project and client goals.
• Supporting in growing Data competency within the Data&AI Team.
• Supporting sales initiatives (e.g., workshops, proof-of-concept, product shows).
• 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.