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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on data migration and building data architecture on GCP, emphasizing batch and streaming data pipelines. Technologies used include BigQuery, Dataflow, Dataproc, Composer, Terraform, Python, Kubernetes. Responsibilities cover framework development, automated testing, optimization, and ensuring data quality and security. The role combines engineering with business understanding and aims to build foundations for AI solutions.
from: 17 June 2026
to: 17 July 2026
salary not specifiedB2B contract (full-time)
Offer parameters
level:mid • senior
working mode:hybrid
Warszawa, Mokotów
Requirements
Expected technologies
GCP
Python
BigQuery
Cloud Storage
Pub/Sub
Dataproc
Composer
Cloud Run
Looker
Vertex AI
Operating system
Windows
Linux
Our requirements
- 3+ years of experience as a Data Platform Engineer in a data‑driven environment (preferably with GCP).
- Experience in developing enterprise ready solutions based on GCP data services (BigQuery, Cloud Storage, Pub/Sub, Dataproc, Composer,Cloud Run, Looker, Vertex AI).
- Experience in large‑scale data migration or cloud transformation projects.
- Experience with modern data platform patterns, including data lakehouse architectures on GCP (Cloud Storage + BigQuery).
- Hands‑on experience with Infrastructure‑as‑Code (IaC) tools, including Terraform/Terragrunt.
- Proficiency in Python.
- Experience with Linux, Docker/Kubernetes and Gitlab CI/CD pipelines.
- Very good command of English (spoken and written).
- Strong communication skills with the ability to explain complex technical concepts to business stakeholders.
Optional
- Degree in Computer Science.
- Experience with Spark.
- Scala or Java knowledge.
- Knowledge of data governance, metadata and data quality tools.
- Experience collaborating with business stakeholders.
Your responsibilities
- Develop reusable frameworks for data processing and testing on GCP (e.g., BigQuery, Dataflow/Dataproc, Composer).
- Build and maintain batch and streaming data ingestion pipelines from various sources (databases, Kafka/MQ, APIs, files) into GCP.
- Implement automated tests and data quality checks for data pipelines.
- Collaborate with analysts and data scientists to deliver reliable, well‑documented datasets.
- Monitor, optimize and secure data pipelines in line with data governance and compliance standards.
This is how we organize our work
This is how we work
agile
Join a new, strategic datatransformation project, where we’re moving analytics from onpremise to GCP and building our data architecture and data model from the ground up, with a strong focus on business value creation and CX of our customers.
We work with technologies like GCP, Spark, Python, Kubernetes, BigQuery, Vertex AI, Terraform, Looker. We integrate diverse, high volume data sources, design streaming and batch processing layers, implement data governance, lineage, data quality and data security, and set up CI/CD and monitoring/SLOs to shorten the path from question to answer for our business and create a solid foundation for AI/LLM driven solutions.
We’re looking for people who combine architecture and hands on engineering, understand business needs, bring proactivity, energy and fresh ideas, and want to actively shape the standards, patterns and long term direction of our data platform.
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of professional training & courses
- life insurance
- remote work opportunities
- flexible working time
- corporate products and services at discounted prices
- mobile phone available for private use
- no dress code
- parking space for employees
- employee referral program
- charity initiatives
Recruitment stages
- 1.Wyślij swoje CV
- 2.Spotkaj się z przyszłym liderem/ liderką zespołu :)
- 3.Witaj w T-Mobile :)
T-Mobile
Jesteśmy firmą technologiczną, a naszym celem jest tworzenie innowacyjnych rozwiązań dla klientów indywidualnych i biznesowych.
W T-Mobile wszyscy żyjemy w świecie magenta! Kolor ten jest nam bliski, bo oznacza wiarę w powodzenie podejmowanych działań, pewność siebie i wytrzymałość. Właśnie tacy jesteśmy jako zespół.
W #MagentaTeam stawiamy na wymianę doświadczeń, zwinną pracę i szybko adaptujemy się do zmian! #MagentaTeam to jednak przede wszystkim mix różnych kompetencji i doświadczeń, osobowości, temperamentów i poglądów. Właśnie w tej różnorodności widzimy naszą największą siłę.
This is how we work
GCP Data Platform Engineer - Automation & Innovation Department
I apply to:
T-Mobile
Warszawa, Mokotów
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