Job VC

About the Client
Our client is an AI-driven product company focused on building intelligent agents that automate and enhance customer interactions across multiple channels.
As the platform continues to grow, they are looking for a
Senior Data Engineer / Platform Engineer
to help scale and improve the company's data infrastructure, pipelines, and tooling.
About the Role
You will play a key role in designing, building, and maintaining a reliable and scalable data ecosystem that powers analytics, product insights, and operational workflows.
This position is ideal for someone who enjoys working across data platforms, integrations, infrastructure, and analytics enablement while ensuring high standards of data quality and reliability.
What You'll Do
Design, build, and maintain scalable ETL/ELT pipelines and workflows
Improve data quality, reliability, monitoring, and observability across the data platform
Build and maintain integrations between internal and external systems
Collaborate closely with engineering, product, implementation, and business teams
Ensure data consistency, accessibility, and trustworthiness across analytics and operational use cases
Optimize data models, transformations, and storage strategies
Support the evolution of the company's modern data platform and tooling ecosystem
Troubleshoot and resolve data pipeline and platform issues
Requirements
5+ years of experience in
Data Engineering
or
Platform Engineering
Proven experience building and maintaining production-grade data systems
Strong experience with cloud data platforms, preferably
Google Cloud Platform (GCP)
Advanced SQL skills
Experience designing, implementing, and supporting ETL/ELT pipelines
Experience with data orchestration and workflow management tools
Strong knowledge of
Microsoft SQL Server
Hands-on experience with
ClickHouse
Experience working with
Fivetran
Strong understanding of data architecture, performance, and scalability
Excellent verbal and written English communication skills
Ability to work independently in a fast-paced environment
Nice to Have
Experience with modern analytics stacks and data warehousing solutions
Experience with data observability and monitoring tools
Familiarity with AI/ML data pipelines
Experience supporting product analytics and operational reporting
Startup or high-growth product company experience
What We're Looking For
Strong ownership mindset
Passion for building reliable and scalable data systems
Attention to detail and commitment to data quality
Ability to collaborate effectively across technical and non-technical teams
Comfortable working in a dynamic, rapidly evolving environment