AI Data Engineer

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

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