Senior AI & Data Engineer - Azure Data & ML Platforms

EY; Lisboa; On-site; EUR 60,000 - 90,000; Full time

Job summary

EY Europe West Tech Hub in Portugal is building advanced Data and AI capabilities to serve Europe West markets. You will design and implement data and analytics architectures, collect and transform data from diverse sources, and scale data for ML and AI use cases.

Work with Cloud Solution Architects on Azure-based enterprise solutions, contribute to data lake/warehouse design, governance, and analytics workloads. Strong communication, teamwork, and a proactive, self-driven attitude are essential.

Qualifications

• BA/BS or MS degree in Information Systems, Computer Science, Engineering or similar.
• 6+ years of relevant professional consulting experience in technology or similar roles.
• Good understanding of ETL, ELT, data ingestion/cleansing, engineering and data modeling skills.
• Experience with Azure data services and related tooling (Azure Data Factory, Databricks, SQL, Data Lake).

Responsibilities

• Design and implement data and analytics architectures to enable better business outcomes.
• Collect, aggregate, and analyze structured/unstructured data from multiple sources; present patterns and insights.
• Collaborate with Cloud Solution Architects to deliver end-to-end Enterprise Azure-based solutions.
• Develop and maintain data lake and data warehouse schemas and architectures; manage relational/non-relational databases.
• Align data design with IT and business priorities and success measures for implementation.

Skills

ETL/ELT data ingestion

Data modeling

Azure Data Factory Databricks SQL

Python

PowerBI

GenAI/AI architectures

DevOps CI/CD

Education

BA/BS or MS in Information Systems, Computer Science, Engineering

Tools

Azure Data Factory

Azure Databricks

Azure SQL

SQL Server

Azure Data Lake

Cosmos DB

Snowflake

Python

PowerBI

Job description

EY Europe West Tech Hub in Portugal is building advanced Data and AI capabilities to serve Europe West markets. You will design and implement data and analytics architectures, collect and transform data from diverse sources, and scale data for ML and AI use cases.

Work with Cloud Solution Architects on Azure-based enterprise solutions, contribute to data lake/warehouse design, governance, and analytics workloads. Strong communication, teamwork, and a proactive, self-driven attitude are essential.