# GCP Data Engineer

[Xebiacee](https://gurify.com/jobs?q=Xebiacee) · Poland · Posted today

[Data](https://gurify.com/jobs/data)

[Cloud](https://gurify.com/jobs/cloud)

[Apply on the original posting → (opens in a new tab)](https://job-boards.greenhouse.io/xebiacee/jobs/6229291004)

## Job description

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

### You will be:

- Designing, developing, and optimizing ETL/ELT pipelines on Google Cloud Platform.

- Optimizing Spark workloads running on Dataproc and Dataproc Serverless.

- Implementing workload-routing strategies and cost-optimization mechanisms.

- Designing and maintaining data-ingestion processes for Bronze, Silver, and Gold layers.

- Organizing and managing raw-data structures in Google Cloud Storage.

- Designing and implementing event-driven orchestration using Pub/Sub and Apache Airflow.

- Developing, maintaining, and optimizing Airflow DAGs and orchestration frameworks.

- Implementing data reprocessing and backfill capabilities.

- Consolidating related processing workflows into reusable orchestration patterns.

- Extending and improving metadata-driven generators and platform tooling.

- Supporting artifact generation, regeneration, and distribution processes.

- Improving observability, reliability, and operational support for data pipelines.

- Collaborating with platform, analytics, and DevOps teams on architecture and implementation decisions.

### Your profile:

- Strong commercial experience building and operating data platforms on Google Cloud Platform.

- Hands-on experience with Dataproc and Apache Spark.

- Experience designing and developing ETL/ELT pipelines.

- Experience with BigQuery and Google Cloud Storage.

- Strong SQL and Python skills.

- Experience optimizing data-processing performance and cloud costs.

- Experience designing ingestion frameworks and reusable data-processing components.

- Understanding of data-platform architecture patterns, including Bronze/Silver/Gold layers.

- Experience troubleshooting and supporting production data pipelines.

- Strong hands-on experience with Apache Airflow.

- Experience designing, implementing, and maintaining complex DAGs

- Work from the European Union region and a work permit are required

### Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

**Live in Xebiacee’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

## More jobs like this

- XE [GCP Data Engineer](https://gurify.com/job/gcp-data-engineer-at-xebiacee-3cb8f0e545ff) Xebiacee · Poland · today
- XE [Senior Data Engineer with Databricks](https://gurify.com/job/senior-data-engineer-with-databricks-at-xebiacee-8eae385d4dea) Xebiacee · Poland · 5 days ago
- BO [Big Data Engineer (Scala)](https://gurify.com/job/big-data-engineer-scala-at-boxinc-1b118b905139) Boxinc · Warsaw, Poland · 3 weeks ago
- LI [Senior AWS Data Engineer - freelance](https://gurify.com/job/senior-aws-data-engineer-freelance-at-lingarogroup-6c957812c6b7) Lingarogroup · Poland · 4 weeks ago
- CA [Data Engineer (Data Engineering Team) - capital.com](https://gurify.com/job/data-engineer-data-engineering-team-capital-com-ae2815237e03) Capital · Warsaw, Poland · 3 weeks ago
- TR [Data Engineer](https://gurify.com/job/data-engineer-at-tripledotstudios-e50f13ffd86b) Tripledotstudios · Warsaw · 7 weeks ago

```json
{"@context":"https://schema.org/","@type":"JobPosting","title":"GCP Data Engineer","description":"\u003Cp\u003EXebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.\u003C/p\u003E\u003Cp\u003EWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.\u003C/p\u003E\u003Cp\u003EIn the CEE region, we\u2019re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.\u003C/p\u003E\u003Ch3\u003EYou will be:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EDesigning, developing, and optimizing ETL/ELT pipelines on Google Cloud Platform.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOptimizing Spark workloads running on Dataproc and Dataproc Serverless.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EImplementing workload-routing strategies and cost-optimization mechanisms.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDesigning and maintaining data-ingestion processes for Bronze, Silver, and Gold layers.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOrganizing and managing raw-data structures in Google Cloud Storage.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDesigning and implementing event-driven orchestration using Pub/Sub and Apache Airflow.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDeveloping, maintaining, and optimizing Airflow DAGs and orchestration frameworks.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EImplementing data reprocessing and backfill capabilities.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EConsolidating related processing workflows into reusable orchestration patterns.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExtending and improving metadata-driven generators and platform tooling.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESupporting artifact generation, regeneration, and distribution processes.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EImproving observability, reliability, and operational support for data pipelines.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ECollaborating with platform, analytics, and DevOps teams on architecture and implementation decisions.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EYour profile:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EStrong commercial experience building and operating data platforms on Google Cloud Platform.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EHands-on experience with Dataproc and Apache Spark.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience designing and developing ETL/ELT pipelines.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with BigQuery and Google Cloud Storage.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong SQL and Python skills.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience optimizing data-processing performance and cloud costs.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience designing ingestion frameworks and reusable data-processing components.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EUnderstanding of data-platform architecture patterns, including Bronze/Silver/Gold layers.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience troubleshooting and supporting production data pipelines.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong hands-on experience with Apache Airflow.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience designing, implementing, and maintaining complex DAGs\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EWork from the European Union region and a work permit are required\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ERecruitment Process:\u003C/h3\u003E\u003Cp\u003ECV review \u2013 HR call \u2013 Interview \u2013 Client Interview \u2013 Decision\u003C/p\u003E","identifier":{"@type":"PropertyValue","name":"Gurify","value":"gcp-data-engineer-at-xebiacee-c310ad6fc0dd"},"url":"https://gurify.com/job/gcp-data-engineer-at-xebiacee-c310ad6fc0dd","datePosted":"2026-10-21","validThrough":"2026-12-05T23:59:59Z","hiringOrganization":{"@type":"Organization","name":"Xebiacee","sameAs":"https://job-boards.greenhouse.io/xebiacee"},"directApply":false,"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"PL"}}}
```

```json
{"@context":"https://schema.org/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Jobs","item":"https://gurify.com/jobs"},{"@type":"ListItem","position":2,"name":"Poland","item":"https://gurify.com/jobs/poland"},{"@type":"ListItem","position":3,"name":"GCP Data Engineer","item":"https://gurify.com/job/gcp-data-engineer-at-xebiacee-c310ad6fc0dd"}]}
```