EY Data AI Solutions Engineer 

Poland, Masovian Voivodeship, Warsaw 

118965108

Your scope of duties:

• 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.

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.

Additional Assets:

• Experience in large, international Data solution implementation programs.
• Experience in the finance and insurance industry.
• Experience and knowledge of building warehouse technologies including Azure Data Factory, Azure Data Lake, Databricks, Snowflake, SQL, Spark.
• Experience with JIRA, Confluence, or Azure DevOps or similar work tracking tools.
• Knowledge of Data Governance and Data Quality concepts and standards.
• Knowledge of cloud platforms (e.g., Azure, GCP, AWS).
• Knowledge of ML/AI tools.
• Working experience with NoSQL, Graph database solutions.
• Experience with Guidewire Suite products.
• Technical knowledge in programming, scripting, and related standards (Python, bash, Perl, Java, Scala, JavaScript, C#).

What we offer:

• Professional and financial support in acquiring recognized qualifications and certifications.
• Udemy for Business - access to more than 3,000 online training courses.
• Go Fluent - language courses.
• EY Badges - global certification of your competencies and the opportunity to earn an MBA title from a prestigious university.
• Career Counselor - a dedicated advisor to support your career development at EY.
• Innovate EY - a unique intrapreneurship program.
• EY Wellbeing - program offering access to Wellbee psycho-educational platform, health care package with additional preventive screenings, life insurance, tickets, sports cards and many other benefits (available online and offline).