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Katowice, PL
Actively hiring, first seen by us todaySupport and develop data solutions on Google Cloud Platform
Maintain data pipelines and workflows in Cloud Composer (Airflow)
Manage and optimize storage and processing in Cloud Storage and BigQuery
Improve deployment, monitoring and scaling processes for data applications
Troubleshoot and maintain cloud-based data services
Support and develop data solutions within a cloud-native architecture (Google Cloud Platform)
Work with and maintain data pipelines and workflows using Cloud Composer (Apache Airflow)
Manage and optimize storage and processing using Cloud Storage and BigQuery
Contribute to improving processes around deployment, monitoring, and scaling of data applications
Support troubleshooting and operational maintenance of cloud-based data services
We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow.
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 11,033 similar postings that came down. Coming down is not always a hire.
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- Work with and maintain data pipelines and workflows using Cloud Composer (Apache Airflow) - Manage and optimize storage and processing using Cloud Storage and BigQuery - Contribute to improving processes around deployment, monitoring, and scaling of data applications
- Proven experience as a Data Engineer or Cloud Engineer - Hands-on experience with Google Cloud Platform (GCP), including: Cloud Composer (Airflow), BigQuery, Cloud Storage - Strong understanding of cloud-based architectures and data pipelines
Your role We are looking for a Cloud Data Engineer to join a fast-growing, cloud-based project focused on modern data platforms. You work with large datasets, ensuring data quality, reliability, and performance across the full data lifecycle. The role is centered around data engineering rather than machine learning, though exposure to AI-driven solutions will be a strong asset.The project leverages cutting-edge Google Cloud technologies and requires a proactive individual who can bring expertise in emerging cloud-based data ecosystems. Your tasks
Your tasks - Support and develop data solutions within a cloud-native architecture (Google Cloud Platform) - Work with and maintain data pipelines and workflows using Cloud Composer (Apache Airflow)
- Support and develop data solutions within a cloud-native architecture (Google Cloud Platform) - Work with and maintain data pipelines and workflows using Cloud Composer (Apache Airflow) - Manage and optimize storage and processing using Cloud Storage and BigQuery
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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 Cloud Data Engineer to join a fast-growing, cloud-based project focused on modern data platforms. You work with large datasets, ensuring data quality, reliability, and performance across the full data lifecycle. The role is centered around data engineering rather than machine learning, though exposure to AI-driven solutions will be a strong asset.The project leverages cutting-edge Google Cloud technologies and requires a proactive individual who can bring expertise in emerging cloud-based data ecosystems.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.
Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.
Make it real | www.capgemini.com
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Katowice, PL
- Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. - Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us
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