[Remote] Backend Engineer (Data Engineering) at Maze

Europe

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€100,000 – €160,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Generative AIIndustries

Requirements

7+ years of software engineering experience with at least 4+ years focused specifically on data engineering—must be a strong software engineer who will pass coding challenges
Proven track record building and scaling data ingestion systems that handle gigabytes to terabytes daily, with hands-on experience at companies moving massive data volumes (e.g., early Fivetran/Matillion engineers or engineers feeding Databricks/Snowflake at scale)
Deep, hands-on production experience with Python, Apache Kafka, and Apache Spark—these are core daily technologies
Strong expertise with AWS data services including S3, EMR, and building data lakes at scale—intuitive design for performance and cost optimization
Proven experience with Apache Iceberg (critical)

Responsibilities

Build production data pipelines: Design, implement, and maintain scalable data pipelines that ingest gigabytes to terabytes of security data daily, processing millions of records in single-digit minutes while maintaining reliability and data quality
Architect distributed data systems: Build and evolve S3-based data lake infrastructure using Apache Iceberg, creating self-managed, distributed systems for rapid data transformations and efficient storage at massive scale
Own the complete data lifecycle: Take end-to-end ownership from data ingestion through Kafka streams to transformation via Spark/EMR, ensuring seamless data flow from customer environments to AI-powered analysis platform
Enable platform scalability: Build data infrastructure with platform thinking, supporting current product needs and laying foundation for future products and exponential data growth
Optimize for enterprise scale: Continuously improve data processing performance and cost efficiency to support the world's largest enterprise security environments
Drive technical excellence: Establish data engineering best practices, participate in code reviews, and mentor team members on building robust, maintainable data systems
Collaborate cross-functionally: Work closely with infrastructure engineers, backend engineers, and product teams to ensure data systems integrate seamlessly with AI agents and security analysis capabilities

Skills

Data Pipelines

Apache Iceberg

Kafka

Spark

EMR

AWS

Data Lake

Streaming

Data Ingestion

Data Transformation

Maze

Product research platform for agile teams

About Maze

Maze is a product research platform that assists agile teams in quickly testing and gathering user insights to enhance their design and development processes. The platform allows product managers, designers, and researchers to consolidate their research efforts into one easy-to-use interface. Users can import prototypes from popular design tools like Figma and Sketch with a single click, enabling them to conduct usability tests on high-fidelity designs. Maze supports testing multiple design variants in one study, which helps teams make informed decisions based on real user feedback rather than intuition. The company operates on a subscription-based model, offering various pricing plans to accommodate different team sizes. Maze's goal is to empower product teams to create user-centric products by providing fast and continuous feedback, ultimately driving business growth and improving user satisfaction.

Paris, FranceHeadquarters

2018Year Founded

$55.9MTotal Funding

SERIES_BCompany Stage

Consumer Software, DesignIndustries

51-200Employees

Benefits

Health Insurance

Mental Health Support

Life Insurance

Disability Insurance

Flexible Work Hours

Paid Family Leave

Remote Work Options

Company Equity

Home Office Stipend

Risks

Increased competition from AI-driven UX tools threatens Maze's market share.

Rapid AI advancements may outpace Maze's current offerings, requiring R&D investment.

Entry of large tech companies into product research increases competitive pressure.

Differentiation

Maze integrates with Figma and Sketch for seamless usability testing.

The platform supports testing multiple design variants in a single study.

Maze offers AI-powered features to scale research and make rapid decisions.

Upsides

Recent $40M funding round boosts Maze's growth and innovation potential.

Partnerships with User Interviews and ADPList enhance Maze's educational initiatives.

Gold Award recognition highlights Maze's effective approach to behavioral insights.

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