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Lisboa, PT
Actively hiring, first seen by us todayDesign, build and maintain batch and streaming data pipelines on Google Cloud
Build ELT/ETL patterns into BigQuery with clear SQL/Python transformation logic
Orchestrate workflows with Cloud Composer (Apache Airflow) for scheduling and recovery
Add data quality checks, monitoring and SLAs to pipelines
Troubleshoot production issues and optimize pipeline performance
Design, build, and maintain scalable data pipelines on Google Cloud for batch and streaming use cases
Implement robust ELT/ETL patterns into BigQuery, ensuring analytics-ready datasets and clear transformation logic (SQL/Python)
Orchestrate workflows and dependencies using Cloud Composer (managed Apache Airflow)
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
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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From 11,115 similar postings that came down. Coming down is not always a hire.
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- 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
- 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
- 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.
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:
- 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).
- 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.
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).
Complete your application on careers.capgemini.com. The employer’s form will show what is required.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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:
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
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Lisboa, PT
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.
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