Zleceniobiorca/-czyni na Staż - Data Platform Engineering

Rodzaj umowy: Zlecenie

Tryb pracy: Hybrydowy (2-3 dni z biura)

Lokalizacja biura: Warszawa, Marynarska 12

Etapy Rekrutacji

• Skrining CV - Będziemy odzywać się telefonicznie do wybranych kandydatów
• Rozmowa techniczno-biznesowa (online, 1h) z Liderem
• Spotkanie z Kierowniczką Działu (online, 1h) - Opcjonalne
  
  

What skills will be appreciated?

• Good written and verbal communication (clear notes, structured documentation) and a proactive attitude to reporting risks/blockers.
• Strong willingness to learn new tools.
• Interest in data platform engineering tooling and developer enablement (you don’t need to be a senior engineer—curiosity and learning mindset matter).
• English proficiency sufficient for corporate communication and technical documentation.
• At least basic python / java / bash knowledge
• Basics of Cloud platforms (AWS, Azure, GCP)
  
  

What tasks await you?

• Assisting with CI/CD topics under mentor guidance (GitHub Actions / GitLab CI / Jenkins): basic troubleshooting, small improvements, and validating changes.
• Supporting ad-hoc organizational tasks that improve team efficiency and reduce “manual overhead”.
• Supporting a data transformation program where we work with large-scale datasets: learning how platform decisions (environments, access, automation, standards) impact reliability, cost, and time-to-delivery when processing high data volumes.
• Supporting the team lead and the team in day-to-day coordination: improving ticket descriptions, tracking blockers and dependencies, and preparing inputs for status meetings.
  
  

Our Offer For You

Data Engineering stream is looking for a future Data Platform Engineer, looking to start their career in T-Mobile Poland. Join a new, strategic data transformation 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. 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.