Senior Data Engineer
- Remote, Romania
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Hands-on data engineering role on a small product team, moving an insurer's data and reporting onto controlled, reusable pipelines with PySpark, SQL and Databricks.
About the role
Existing feeds and reports at an insurance client lean on manual work and tactical fixes. The job is to replace them with governed, tested pipelines and clear reconciliation evidence, then hand the work over cleanly.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Romania
- Seniority
- Senior
- Skills
- PySpark, SQL, Databricks, GCP, Microsoft Dynamics 365
- Posted
- 20 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Rework ingestion from source systems so fewer feeds depend on manual upkeep
- Map data, track lineage and plan controlled cutovers
- Build reconciliation checks that explain shifts in counts, values and hierarchy rules
- Refactor PySpark processing and roll-up logic, adding tests, versioning and monitoring
- Write short technical notes, decision records and handover material
What they look for
- Five or more years in data engineering, much of it on production systems
- Hands-on PySpark, SQL and Databricks work on live pipelines
- Experience with GCP data tools and pipelines
- Testing, tuning and supporting pipelines in operation
- Dimensional modelling and related data design experience
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
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- In Claude, open Settings, then Connectors, and choose Add custom connector.
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Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job u76kntawoiQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Senior Data Engineer as a remote role for candidates in Romania.
What does this job pay?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: five or more years in data engineering, much of it on production systems; hands-on PySpark, SQL and Databricks work on live pipelines; experience with GCP data tools and pipelines. Skills it names include PySpark, SQL, Databricks, GCP.
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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