Consultant / Senior Consultant - Artificial Intelligence & Data

• Bachelor's or Master's Degree in Informatics Engineering, Computer Science, Data, Mathematics, or related areas
• Professional experience between 2 and 10 years in technology or engineering areas, with a focus on data
• Technical Knowledge:
  • SQL: Experience in SQL, with knowledge of relational databases (e.g., SQL Server, Oracle, PostgreSQL, or equivalent)
  • ETL/ELT: Experience with data ETL tools (e.g., ADF, AWS Glue, SSIS, Pentaho, dbt, or equivalent).
  • Programming Languages: Knowledge of Python, Scala, or Java.
  • CI/CD: Knowledge of CI/CD practices applied to the data lifecycle
  • Data Modeling: Knowledge of data modeling and database design best practices
• Fluency in Portuguese and English, both written and spoken, is mandatory, especially in technical contexts
• Motivation and interest in learning and working with different technologies
• Customer and results orientation
• Communication, interpersonal relationships, teamwork, and collaboration
• Problem-solving, analytical capacity, and critical thinking
• Organization, planning, and orientation towards project quality

• Other Knowledge We Value:
  • AI: Experience with Generative AI technologies (e.g., OpenAI; Gemini; Claude, Cursor, or equivalent)
  • Big Data: Experience with tools for Big Data (e.g., Hadoop, Spark, Kafka, Hive)
  • Cloud Computing: Experience in Cloud Computing environments (Azure, AWS, GCP), with knowledge of data tools in the cloud (e.g., Redshift, BigQuery, Databricks, Snowflake, Singlestore)
  • Knowledge of agile methodologies (e.g., Scrum, Kanban)

• In a diverse work context that allows for continuous development and learning
• Through a personalized career development plan (technical and functional skills/opportunities), suited to the moment, your needs, and your objectives
• Participating in national and international projects, with relevant dimension and impact in this area of specialization
• Unlimited access to the largest online learning platforms (Linkedin Learning and Udemy)
• Opportunity for training and certifications in the latest technologies, namely in Cloud technologies

Do you want to join one of the largest consulting service organizations in the market? Join us and you will be able to strengthen your skills and boost your career.

We are reinforcing our Technology & Transformation area with the best experts in Data, to join Data Science, Data Engineering, and Analytics projects. At Deloitte, we offer a professional experience that inspires talents like you to transform the world and make it more efficient and technological. We are a talented and diverse community that empowers us to create value for our people, companies, and society.

We are an international Tech Hub and we are looking for the best specialists in data and AI, to develop unique solutions and help our Clients transform their business; improve the quality of their services; and increase the effectiveness and efficiency of their operations. At Deloitte, we achieve these objectives through business knowledge and innovative technologies such as GenAI.

We are looking for the best talents to join various projects, from Portugal to the world. Will you join us?

The AI&Data Technology & Transformation area operates on projects in the Financial Services industry for the Portuguese and international financial markets. The main typology of projects are: Data Science; Generative AI; Cloud Data Architecture; Data Engineering.

What do these projects consist of?

• Data Science: Creation of predictive models and advanced analytics for process optimization and decision-making.
• Generative AI: Development and application of artificial intelligence technologies to increase efficiency and improve services.
• Cloud Data Architecture: Structuring and managing data in cloud environments to ensure scalability and security.
• Data Engineering: Construction and maintenance of efficient data systems and pipelines to support business analytics and operations.

Our mission is to transform data into value, helping our clients thrive in an increasingly data-driven world.

• Supervision and/or participation in data engineering projects, ensuring the delivery of robust and scalable solutions
• Development and maintenance of efficient data pipelines for data ingestion, transformation, and availability
• Collaboration with multidisciplinary teams (analysts, data scientists, architects) on projects with reference clients at national and international levels
• Management of daily relationships with technical and functional stakeholders, ensuring the alignment of solutions with business requirements
• Autonomous planning and execution of assigned tasks, including development, documentation, testing, and optimization of data processes
• Identification and resolution of technical challenges in complex data environments
• Ensuring the fulfillment of deadlines and quality in the execution of your deliveries