Data Science, Analytics & Data Engineer (Remote, Talent Pool)
FullStack Talents
·May 20, 2026
- Workplace
- Remote
- Type
- Contract
- Department
- Engineering
- Education
- Master
- Source
- RecruiterFlow
Description
Position: Data Scientists, Data Engineers & Analytics Professionals – Talent Pool (Ongoing Search)
Remote working policy: 100% remote possible, full-time
Employment type: Freelancer/ Contract or Employee
Duration: 12 months+
Remote working policy: 100% remote possible, full-time
Employment type: Freelancer/ Contract or Employee
Duration: 12 months+
About us:
We are a specialist technical recruitment agency constantly looking for strong strong Data talent for exciting opportunities. We partner with global enterprise companies, USA-based organisations, and EU clients that frequently offer remote, hybrid, and onsite roles.
If you’re a Data Scientist, Data Engineer, Analytics Engineer, BI Developer, or Big Data specialist, we’d love to connect with you for future roles.
What we’re looking for:
- Strong skills in Python, SQL, Spark, ETL pipelines, cloud data platforms (AWS, Azure, GCP), or modern data stack tools
- Experience in building scalable data solutions, advanced analytics, or business intelligence
- 2+ years of hands-on experience
This posting is for our ongoing talent pool. Apply to register your interest and we will contact you when suitable roles matching your experience and location preferences (including remote) arise.
Keywords: Data Science, Data Engineering, Data Analyst, Big Data, Python, SQL, Snowflake, Databricks
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Sounds interesting? Please send us your CV or LinkedIn profile outlining a track record of your achievements. In case of any questions, please contact: [email protected]
We are looking forward to hearing from you!
By replying to this job offer, you agree to our processing of your personal information and confirm that you have had the opportunity to learn about our data handling.
Guaranteed reply to all applicants!
Guaranteed reply to all applicants!
Skills
PythonAWSAzureGCPSQLSparkSnowflakeDatabricksData ScienceData EngineeringETL
