Job VC

Workload: full-time
Start: asap
Location: any
English: B2-C1
Budget: depending on experience, but affordable rates are more preferable to the client.
Job description
We are looking for an experienced Senior Data Engineer / Platform Engineer to help build and maintain reliable, scalable data infrastructure, pipelines, and tooling across analytics and product data stack. This is a full-time, 2-month engagement with strong potential for long-term extension (full-time or part-time)
You will play a key role in designing and improving the company's data ecosystem, ensuring that business and product teams have access to accurate, trustworthy, and actionable data.
About the Client
AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.
What You'll Do
Design, build, and maintain scalable ETL/ELT workflows.
Improve data quality, reliability, and observability practices.
Manage and enhance integrations between various systems and platforms.
Collaborate closely with engineering, product, and implementation teams.
Ensure data accessibility and consistency for analytics and operational use cases.
Requirements
Minimum 5 years of experience in Data Engineering or Platform Engineering.
Strong experience building and maintaining production-grade data systems.
Hands-on experience with cloud data platforms, preferably Google Cloud Platform (GCP).
Advanced SQL skills.
Experience designing and supporting ETL/ELT pipelines.
Experience with data orchestration and workflow management tools.
Strong knowledge of MS SQL Server.
Experience working with ClickHouse.
Hands-on experience with Fivetran.
Excellent verbal and written English communication skills.
Ability to operate independently and thrive in a fast-paced environment.
Recruitment Process
Pre-screen with the Recruitment Manager.
Interview with Product Owner – discussion around experience, technical background, and project fit.
"Vibe Coding" Session with Product Owner!!!