Data Engineer
- Remote, Romania
- Mid-level
- yesterday
or apply from Claude / ChatGPT
Data engineering role on a media data platform team, building pipelines and internal reporting tools on Google Cloud; full-time.
About the role
Owns the internal media data platform, joining vendor-built pipelines with dashboards and AI-driven tools so business teams can see how campaigns perform. Success means data that is reliable, documented and easy to use.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Romania
- Seniority
- Mid-level
- Skills
- Google Cloud, ETL, SFTP, Agile, Continuous integration
- Posted
- 19 Oct 2026
- Last checked
- 20 Oct 2026
What you will do
- Own and improve the internal media data platform, working with outside vendors on pipelines that connect media platforms
- Design and maintain reporting tools, interactive dashboards and AI-driven solutions for internal users
- Keep data accurate, consistent and secure across pipelines and the applications built on top of them
- Manage suppliers who run the digital data platforms and push ongoing optimisation work
What they look for
- Experience building data pipelines and ETL processes, ideally on Google Cloud
- Comfort with full-stack development and turning data into products people use
- Knowledge of software engineering practice such as version control, testing and continuous integration
- Familiarity with data integration infrastructure including APIs, orchestration and SFTP
- Ability to size and estimate work and follow Agile methods with product owners and analysts
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
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- Claude
- ChatGPT
https://keywordise.com/mcpApply to Keywordise job bs2bom5owcQuestions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote for people in Romania.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a mid-level role. The posting asks for: experience building data pipelines and ETL processes, ideally on Google Cloud; comfort with full-stack development and turning data into products people use; knowledge of software engineering practice such as version control, testing and continuous integration. Skills it names include Google Cloud, ETL, SFTP, Agile.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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