Key Facts

Remote From:

Full time

English

Hard Skills

Data Modeling SQL (Programming Language) Data Architecture Observability Event Tracking Cloud Database Data System Data Quality Category Management Data Collection Product Analytics Data Governance Customer Analysis Cross-Functional Collaboration Product Knowledge

Other Skills

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Adaptability
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Communication

Roles & Responsibilities

Excellent SQL skills and experience modeling analytics-ready datasets
Experience with modern data stacks (dbt, cloud data warehouses, ELT pipelines)
Ability to own end-to-end data foundations in a fast-moving environment
Strong communicator able to collaborate with engineering, product, and customer teams

Requirements:

Build and maintain core data pipelines and models for product and business insights
Define how we collect, structure, and track product data to understand user behavior and product performance
Create clean, reliable, self-serve data assets for Product, Customer Success, and Engineering to explore questions quickly
Champion data reliability and quality, ensuring scalable, accurate, and transparent systems

Maki People

Computer Software / SaaS

About Maki People

Save time and replace CV screenings with Maki skills tests, bias-free tools that help you assess which candidates are right for the job.How it works?- Create unlimited assessments in your fully branded space, for any position, any industry, anywhere in the world - Choose among 150+ tests, crafted by leading experts, covering every relevant skill- Add customize questions or case studies using free-text, document upload or video interactions- Synchronize with 30+ ATS- Review and decide on real-time data, without biais. The future of hiring. Simple. Efficient. Fair.Join the Maki movement.

Company type: Startup

Industry: Computer Software / SaaS

Founded: 2018

Company size: 11 - 50

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Job description

Who We Are

Maki is transforming HR with fully autonomous AI hiring agents that handle everything from sourcing and screening to interviewing and selection at scale. Instead of being stuck in administrative tasks, HR teams can now focus on what really matters: engaging top talent, making smarter hiring decisions, and driving business success. Companies like H&M, BNP Paribas, and FIFA already trust Maki to automate 90% of screening and interviewing, reducing time-to-hire by 3x and turnover by 20-30%.

Maki isn’t just another tool, it’s the future of AI-powered talent acquisition.

Your Mission at Maki ⚡

Data Engineer

As a Data Engineer at Maki, you will build the data foundation that powers our AI agents, product analytics, and customer insights. Your mission is to turn raw data into clarity, enabling every team at Maki to make better decisions, unlock product opportunities, and deliver a magical experience to customers.

You will:

Build and maintain the core data pipelines and models that fuel product and business insights.
Define how we collect, structure, and track product data so we can deeply understand user behaviour and product performance.
Create clean, reliable, self-serve data assets that empower Product, Customer Success, and Engineering to explore and answer questions rapidly.
Help standardize our metrics and data language, making sure the organization operates from a single source of truth.
Champion data reliability and quality, ensuring our systems scale with accuracy, transparency, and trust.

We would love to work with you if…

You might be a strong fit if you:

Have excellent SQL skills and experience modeling analytics-ready datasets
Have worked with modern data stacks (dbt, cloud warehouses, ELT pipelines)
Are comfortable owning end-to-end data foundations in a fast-moving environment
Think in terms of product impact: clarity, usability, reliability, and speed
Are a strong communicator who can collaborate with engineering, product, and customer teams
Care about building simple, elegant systems that scale pragmatically