Lead Data Engineer
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
Offer value
High value score reflecting the strategic importance of data engineering in driving a fintech platform, with significant growth potential.
- Formulate vital data infrastructure for a fintech startup
- Engage with innovative data technologies
- Flexibility to structure your work environment
Pros
- Lead the critical data infrastructure for a growing fintech
- High autonomy in shaping data architecture
- Potential for professional growth through new technologies
Cons
- High expectations for performance and results
- May face pressure for quick turnarounds
- Possibly limited direct support from other teams
Who it's for
Senior • Remote, flexible
Good fit
- Senior data engineers ready for leadership roles
- Individuals with a passion for fintech innovations
- Technical experts keen on data-driven decision making
Not recommended for
- Less experienced data professionals
- Candidates uncomfortable in fast-paced environments
- Individuals preferring routine tasks over innovation
Motivation fit
Key skills
About the job
About KAST
KAST is redefining what it means to bank with stablecoins - think Revolut, rebuilt from scratch on Web3. Backed by top-tier VCs, we’ve grown from 0 to 1 million users in under a year. We’re building the next-gen global bank based entirely on stablecoins.
Design is at the heart of everything we do - it’s how we simplify the complex, make money feel easy, and turn crypto skeptics into brand ambassadors.
The Role
We’re looking for a hands-on Sr. Data Engineer to lead the buildout of both our growth analytics stack and core data platform. This role is more than just implementation — it’s a high-impact opportunity to architect, ship, and scale critical infrastructure from the ground up.
You’ll be empowered to design and deploy best-in-class data pipelines, analytics tooling, and warehouse structures — using leading tools and frameworks. You’ll work directly with platform, product, growth, engineering, and leadership to ensure data is actionable, accurate, and central to every decision we make.
This is a role with real ownership, broad scope, and the ability to shape how data is used across the entire company.
Responsibilities
- Take ownership of refining and evolving the AWS data platform (Redshift, S3, DMS, Glue, etc.) to support growing analytical demands with better speed, scale, and cost control.
- Take ownership of analytics tooling (Firebase, Branch.io, Mixpanel), focusing on proper configuration, clean event structures, and seamless end-to-end tracking.
- Build and maintain reliable attribution flows to ensure precise campaign tracking and actionable measurement.
- Design and build resilient data pipelines (batch and real-time) to support marketing attribution, product analytics, and internal tooling
- Build pipelines to power ML/AI-based features — from user scoring to automated targeting and forecasting.
- Integrate and transform user behavior and growth signals into a consistent analytics layer
What You'll Bring
- Bachelor’s Degree in Computer Science or equivalent professional experience
- 5+ years of Data Engineering experience
- Strong experience with Redshift — building data platforms and pipelines
- Proven expertise with app analytics stacks including Firebase, Branch.io, and Mixpanel
- Fluency in SQL and a scripting language (e.g. Python, JavaScript)
- Solid experience with AWS Cloud infrastructure
- Deep understanding of marketing attribution, campaign analytics, and tracking integrity
- A builder mentality — capable of going deep, shipping fast, and working independently
- Excellent communication skills in English
Nice to Have
- Prior experience in FinTech, web3, payments, or fast-growing consumer apps
- Experience building ML/AI-powered pipelines (e.g. for personalization, scoring, or prediction)
Why KAST?
- Build a product that sets a new standard in banking
- Join a no-BS, fun, high-performance team backed by the best
- Remote across Global - with real ownership and creative freedom
- Competitive comp + meaningful equity upside
How To Apply?
