Data Engineer
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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
Must-Have Qualifications
- 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
The hiring process is designed to be straightforward and practical:
- Pre-screen with Recruitment Manager.
- Interview with Product Owner — discussion around experience, technical background, and project fit.
- “Vibe Coding” Session with Product Owner
When you apply for the role, please answer the following questions:
- How much experience do you have in Data Engineering or Platform Engineering?
- What is your current level of proficiency in English?
- Please share your monthly salary expectations (gross amount in USD).
- When can you start?
Thank you for your time and interest in this position. We will review your application, and should we have a great match, we will contact you ASAP.
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