Senior Data Engineer (Kineto)

We are hiring for our customer Kineto, who belives that the creative economy will reach $3 trillion by 2035 (15 times its current value). Millions of creators are already building audiences and businesses online - but most still can’t easily turn their ideas into real digital products.

Kineto is developing a truly no-code platform to change that.

Creators can generate fully functional web applications that are automatically deployed and ready to share - without ever seeing code. Kineto`s goal is simple: Enable creators with little or no technical background to launch products and start earning in minutes, all with just the chat window

Kineto`s team consists of 20 builders with ambitious goals. They value unconventional approaches to problem-solving and are quick to give people full ownership and autonomy.

They’re looking for an exceptional Senior Data Engineer to partner with the Head of Product and help them achieve product-market fit. This role is for someone who enjoys moving fast, is comfortable working in ambiguity, and wants to build products in markets that don’t exist yet.

As part of our team, you will:

• Design and build our data pipeline from scratch.
• Collect and structure data across the entire product ecosystem: web, iOS, backend, and the AI generation pipeline.
• Design and implement a robust event tracking system.
• Work closely with engineers to introduce clear standards for event logging and instrumentation.
• Take full ownership of data quality, completeness, and reliability.
• Build processes that ensure the data our product and analytics rely on is always trustworthy.

We’ll be thrilled to bring you on board if you:

• Have at least three years of experience as a Data Engineer.
• Have a high-level perspective on tasks and the product as a whole.
• Have experience working with web/iOS.
• Have strong SQL skills.
• Have experience building ETL/ELT pipelines.
• Are comfortable owning systems end to end, not just implementing tasks.
• Are extremely detail-oriented when working with data.
• Move fast and work independently.
• Can quickly get up to speed with new tech stacks.

Bonus points if you:

• Have experience working as a Data Analyst.
• Have experience with AI products, creator tools, or no-code platforms.

We are an equal opportunity employer

We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace - one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.