Sobre este puesto de AI Data Engineer en Accenture
Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.
We are seeking a highly qualified professional to join our team as an AI Data Engineer (with Google Cloud Platform). As an essential part of our team, you will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and AI-driven use cases. We are looking for a professional with strong expertise in GCP, data engineering, and modern data architectures.
Qualifications
Strong hands-on experience with SQL and Python
Deep knowledge of Google Cloud Platform (GCP), with BigQuery expertise being mandatory
Minimum knowledge of Generative AI concepts (must have), including embeddings, RAG pipelines, Vertex AI SDK, prompt engineering, and function calling fundamentals
Proven track record delivering end-to-end data engineering projects
Strong experience in data modeling, data quality, and data governance best practices
Experience designing and implementing scalable data pipelines and data platforms
Strong understanding of ETL/ELT frameworks and modern data architectures
Client-facing experience with the ability to communicate technical concepts to non-technical stakeholders
Strong analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Fluent in English (C1 or above)
Responsibilities
Design, develop, and maintain scalable data pipelines and data platforms on GCP
Build and optimize solutions using BigQuery and other Google Cloud data services
Develop and maintain data models that support business reporting, analytics, and operational processes
Ensure data quality, governance, security, and compliance standards are consistently applied
Collaborate with business and technical stakeholders to gather requirements and translate them into data solutions
Monitor and optimize data platform performance, reliability, and cost efficiency
Support the implementation of data engineering best practices across projects
Contribute to architecture decisions and provide technical guidance to project teams
Present technical recommendations and solutions to client stakeholders
Support AI and advanced analytics initiatives by preparing and managing high-quality datasets
Nice to Have
Google Cloud Certifications such as Professional Data Engineer, Professional Cloud Architect, or equivalent
Experience with Azure or AWS is considered a plus
Additional Information
Location: Lisbon, Coimbra or Braga
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Declaração de Igualdade de Oportunidades de Emprego
Acreditamos que ninguém deve ser discriminado por suas diferenças. Todas as decisões de contratação devem ser tomadas sem distinção de idade, raça, credo, cor, religião, sexo, nacionalidade, ascendência, deficiência, condição de veterano militar, orientação sexual, identidade ou expressão de gênero, informação genética, estado civil, cidadania ou qualquer outra condição protegida pela legislação aplicável. Nossa rica diversidade nos torna mais inovadores, competitivos e criativos, o que nos ajuda a atender melhor nossos clientes e nossas comunidades.
