Data Engineer (Google)

Capgemini; Lisboa; Híbrido; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible and dynamic work environment

Continuous learning and career development

Volunteering opportunities for a sustainable future

Resumo da oferta

A global technology consulting firm is searching for a Data Engineer with a focus on Google Cloud to join its Data & AI consulting team in Lisbon. The ideal candidate should have at least 3 years of experience in data engineering, strong proficiency in SQL and Python, and hands-on experience with Google Cloud tools. The role involves designing and implementing scalable data models and pipelines while ensuring data quality and performance. Join us to empower organizations with data-driven solutions.

Qualificações

• At least 3 years of experience in Data Engineering, delivering data pipelines and analytics solutions.
• Strong proficiency in SQL and Python for data manipulation and debugging.
• Hands-on experience with the Google Cloud data ecosystem.

Responsabilidades

• Design, build, and maintain scalable data pipelines on Google Cloud.
• Implement robust ELT/ETL patterns into BigQuery.
• Apply data modeling best practices for analytical workloads.

Conhecimentos

SQL

Python

Data engineering

Google Cloud

Workflow orchestration

DataOps

Communication skills

Ferramentas

BigQuery

Dataflow

Pub/Sub

Cloud Composer

Descrição da oferta de emprego

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

We are looking for a Data Engineer with Google focus to join Capgemini Portugal’s Data & AI consulting team. You will design and implement scalable data models and pipelines on Snowflake’s AI Data Cloud, supporting analytics and AI workloads, and helping clients move from raw ingestion to trusted, business-ready data products.

In This Role You Will Be Responsible For

• Design, build, and maintain scalable data pipelines on Google Cloud for batch and streaming use cases (e.g., Dataflow, Pub/Sub).
• Implement robust ELT/ETL patterns into BigQuery, ensuring analytics-ready datasets and clear transformation logic (SQL/Python).
• Apply data modeling best practices for analytical workloads and support performance/cost optimization
• Orchestrate workflows and dependencies using Cloud Composer (managed Apache Airflow) to ensure reliable scheduling, monitoring, and recovery patterns.
• Ensure data quality and reliability through validation checks, monitoring, and operational controls (SLAs, error handling, documentation).
• Troubleshoot production issues and optimize pipelines for performance, scalability, and maintainability.

YOUR PROFILE

• At least 3 years of experience in Data Engineering, delivering data pipelines and analytics solutions (consulting/project-based delivery is a plus).
• Strong proficiency in SQL and Python, including transformation logic, data manipulation, and debugging.
• Hands‑on experience with the Google Cloud data ecosystem, typically including BigQuery and services such as Dataflow and Pub/Sub
• Experience (or strong familiarity) with workflow orchestration using Cloud Composer / Apache Airflow.
• Solid understanding of modern data platform concepts (data lake/warehouse/lakehouse patterns) and data modeling for analytics consumption.
• Familiarity with DataOps/DevOps concepts applied to data engineering (CI/CD exposure, Git‑based workflows, automated testing/quality checks).
• Strong communication skills and stakeholder management; able to explain technical topics to non‑technical audiences.
• Proactive, structured problem‑solving approach, ownership mindset, and ability to work in ambiguous environments.
• Fluency in Portuguese and English (spoken and written).

What You'll Love About Working Here

• At Capgemini Portugal we have a flexible and dynamic work environment. Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the company’s hybrid work policy;
• Our roles are supported by Capgemini’s professional communities, which help drive continuous learning, career development, and knowledge sharing across different areas of the organization.
• We have a program where we volunteer for activities supporting a sustainable and inclusive future. Over 7,000 volunteers have contributed skills and time to help those in need.
• Capgemini Portugal is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, as well as employment offers and promotions made according with competence and ability or performance, respectively.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com

Apply now!