Ernst and Young

Manager - AI & Data Engineer | Lisboa/Porto

Ernst and Young
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2 months ago
Lisbon, PortugalStaff+

Responsibilities

  • Implement end-to-end enterprise data and AI solutions for client engagement teams.
  • Design and build data and analytics architectures, data lakes, data warehouses, and relational and non-relational databases.
  • Collect, aggregate, analyze, and scale structured and unstructured data for machine learning and artificial intelligence use cases.
  • Collaborate with Cloud Solution Architects on Microsoft Azure implementations.
  • Support strategy, planning, team management, sizing, configuration, needs assessments, and project leadership.
  • Work with customers to understand data estates, business priorities, and success measures and translate them into implementation architectures.
  • Present data patterns, insights, and recommendations clearly to clients and stakeholders.

Requirements

  • Currently hold or be pursuing a BA/BS or MS degree in Information Systems, Computer Science, Engineering, or a similar field.
  • Have a minimum of 6+ years of relevant professional consulting experience in technology or similar roles.
  • Understand ETL, ELT, data ingestion, data cleansing, data engineering, and data modeling.
  • Have technical experience in at least two relevant areas, including data ingestion and storage, large data systems, big data analytics, data governance, data catalog, master data management, or AI/ML and GenAI architectures.
  • Have experience with Azure data services, T-SQL, Python, Snowflake, or Power BI as applicable to the selected technical areas.
  • Communicate clearly, manage and prioritize work independently, adapt positively to change, and manage multiple projects.
  • Demonstrate people management, teamwork, strategic focus, commercial awareness, and the ability to work under pressure.
  • Experience with DevOps, CI/CD, Agile, or Scrum delivery methods is desirable.
  • Microsoft certifications such as Azure Data Engineer Associate or Azure Fundamentals are desirable.

Benefits

  • Competitive remuneration package with rewards for individual and team performance.
  • Support, coaching, continuous learning, career development, and opportunities to develop new skills.
  • Freedom and flexibility to handle the role in a way that suits the employee.
  • Inclusive and diverse culture with leadership development and opportunities to make a meaningful impact.
  • Role based in Lisbon or Porto, with hybrid work indicated by the #LI-HYBRID tag.

Tech Stack

AzureDatabricksMicrosoft SQL ServerPythonSnowflake

Categories

Data Engineering
Ernst and Young

About Ernst and Young

10,000+ employees

Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.

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