Luzia is Europe’s fastest-growing AI consumer company, redefining conversational AI with cutting-edge large language models (LLMs) and an unparalleled user experience. Backed by Silicon Valley’s top investors (Khosla Ventures & more), we’re on a mission to make Luzia the go-to AI personal assistant—empowering millions to simplify and enhance their everyday lives.
⚡ 60M+ users worldwide in under 2 years.
🚀 Hypergrowth startup backed by top-tier investors.
📱 Your chance to shape the future of AI-powered mobile experiences.
We're hiring! Check out our open roles here: https://thewordlab-co.jobs.personio.com/
Luzia is Europe’s fastest-growing AI consumer company, redefining conversational AI with cutting-edge large language models (LLMs) and an unparalleled user experience. Backed by Silicon Valley’s top investors (Khosla Ventures & more), we’re on a mission to make Luzia the go-to AI personal assistant—empowering millions to simplify and enhance their everyday lives.
⚡ 60M+ users worldwide in under 2 years.
🚀 Hypergrowth startup backed by top-tier investors.
📱 Your chance to shape the future of AI-powered mobile experiences.
We're hiring! Check out our open roles here: https://thewordlab-co.jobs.personio.com/
Product: Conversational AI personal assistant (mobile apps + WhatsApp/Telegram)
Users: Reported tens of millions of users (company reporting)
Recent funding: $13.5M round led by Prosus Ventures (May 2025) reported
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Company Overview
Problem Domain
Consumer conversational AI / AI personal assistants for messaging platforms and mobile.
Founded
2023
Industry
Technology, Information and Internet
Funding Track Record
Series A- October 2023
$10 million
Venture round- May 2025
$13.5 million
Round reported to include participation from existing investors including Khosla Ventures and Monashees
Investor Signal
“Backed by institutional investors including Khosla Ventures and Prosus Ventures; angels and early funds have also participated”
Founders
What we do
Join the Team
Data Engineer
HybridMadrid, Community of Madrid, ES
Hybrid • Madrid, Community of Madrid, ES
About Us:
Luzia is Europe’s fastest-growing AI consumer company, redefining conversational AI with cutting-edge large language models and an unparalleled user experience. With a strong and rapidly expanding presence in Brasil, we’re on a mission to make Luzia the go-to AI personal assistant, empowering millions of users to simplify and enhance their everyday lives.
At Luzia, we ship fast: keep it simple, learn from every experiment, own outcomes, and and build what our users need. We thrive in a fast-paced environment and expect everyone to use AI daily—automating the routine and amplifying creativity—because using AI isn’t optional; it’s how we win.
⚡ Hypergrowth startup with 80M+ users worldwide in under 3 years.
🌎Latin America as a core market with more than 60% of our user base.
🚀Backed by top-tier investors (Khosla Ventures, Prosus Ventures, A-Star, Monashees and more) .
As a
Data Engineer
, you’ll join our engineering team in
Madrid
, building and operating the data pipelines and models that power analytics, decision-making, and AI-driven product features. You’ll work at the intersection of product, engineering, and data, helping ensure that data across the company is reliable, scalable, and easy to use.
Responsibilities:
Requirements:
Nice-to-Haves:
Experience with the AWS data stack (e.g. Redshift, Glue, Spectrum).
Familiarity with Infrastructure as Code practices (e.g. Terraform).
Experience with data orchestration tools such as Airflow or Prefect.
Experience with data transformation frameworks like dbt or SQLMesh.
Exposure to machine learning workflows or LLM-powered data use cases.
Experience working with large-scale B2C datasets.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Data Pipelines & Architecture:
Design, develop, and maintain scalable data pipelines and data architectures supporting analytics, experimentation, and machine-learning use cases.
LLM-Enabled Data Workflows:
Work on data workflows that leverage LLMs in production, such as classification or analysis of user inputs.
Transformation Layer:
Build and maintain the transformation layer (ELT), developing SQL models tailored to different use cases and audiences.
Data Quality & Reliability:
Implement best practices to ensure data quality, consistency, and security across data workflows.
Cross-Functional Collaboration:
Collaborate closely with product managers, software engineers, analysts, and data scientists to understand data needs and deliver effective technical solutions.
Operational Excellence:
Monitor, troubleshoot, and improve data pipelines to ensure reliability and performance.
Stack Evolution:
Contribute to the continuous improvement of the data stack, adopting new tools and practices as the business and data needs evolve.
Experience:
4+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
Core Skills:
Strong proficiency in Python and SQL.
Data Warehousing:
Experience working with modern data warehouses (e.g. Redshift, BigQuery, Snowflake).
Cloud Platforms:
Hands-on experience with cloud services (AWS, GCP, or Azure).
Data Pipelines:
Experience building, deploying, and maintaining data pipelines end-to-end.
Data Modeling:
Solid understanding of data modeling concepts such as dimensional modeling and slowly changing dimensions.
Communication:
Strong communication skills and fluency in English; comfortable working in an English-speaking environment.
Product Awareness:
A product-minded approach to data, ensuring data solutions support real business and user needs.
Education:
Bachelor’s degree in Computer Science, Engineering, or a related field.
