Software Engineer, Data Platform

Multicoin; München; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

Multicoin is looking for a Software Engineer for their Data Platform in Munich. You will join a high-impact team focused on developing and evolving the data platform powering AI pipelines. Responsibilities include building automated data quality pipelines, ensuring data governance, and developing APIs for secure dataset access. Candidates should have over 5 years of Python experience, strong system design skills, and familiarity with AWS and containerization tools. This role requires on-site presence 5 days a week.

Qualifikationen

• 5+ years of proficiency in Python, with experience building production services.
• Strong system design fundamentals, with experience evolving existing systems toward more generic, reusable designs.
• Experience designing and building APIs with security and performance requirements.

Aufgaben

• Design and operate automated data quality pipelines with human‑in‑the‑loop review stages.
• Develop and refine transformation processes to deliver clean, well‑structured datasets.
• Build APIs and backend services that provide secure, performant access to large datasets.

Kenntnisse

Python

API Design

Docker

Kubernetes

AWS

Data Engineering

GitHub Actions

Tools

Snowflake

MongoDB

Terraform

Jobbeschreibung

Software Engineer, Data Platform

Munich — Device

About the Company

World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. Our products enable the verification of real people, prove it privately, and distribute new applications that rely on this technology. Together, they form a new layer for AI on the internet.

World was founded in 2019 and launched globally in 2023. We are more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab, and we are backed by leading investors such as a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global and Coinbase Ventures.

About the AI & Biometrics Team

The AI & Biometrics team is building a biometric recognition system that can reliably serve more than a billion users and enable them to claim a free share of WLD. We use machine learning models deployed on custom hardware to enable high‑quality image acquisition, identification, and fraud prevention with minimal user interaction.

Our biometric recognition and fraud detection engine aims to outperform all current technologies. We combine a powerful custom iris recognition device with the latest research in AI and deep learning.

About the Opportunity

You will join a high‑impact team that maintains and evolves the data platform powering our AI pipelines. This all‑rounder role combines backend development, data engineering, infrastructure, and lightweight frontend work.

Your work will span the ingestion layer, transformation workflows, and the warehouse itself: designing resilient pipelines, building secure APIs, and creating services that make our datasets reliable, discoverable, and ready for large‑scale training. You will also play a key role in re‑architecting existing systems into reusable components, moving away from point solutions toward a platform that can serve multiple programs.

You will be a key contributor to the infrastructure that feeds and monitors our machine learning models in production: ensuring that data flows seamlessly, services run reliably, and governance standards are never compromised. Every solution you build will follow the highest security standards and rigorous data governance principles, ensuring sensitive biometric data is handled with absolute care.

This role is onsite 5 days/week and sits in our Munich office.

Key Responsibilities

• Design and operate automated data quality pipelines with human‑in‑the‑loop review stages, combining automated checks with structured labeling workflows to determine whether ingested data meets acceptance criteria.
• Develop and refine transformation processes to deliver clean, well‑structured datasets ready for analytics, model training, and evaluation: production‑grade, with strong schema contracts.
• Instrument systems with metrics, alerts, and recovery mechanisms, and build internal tooling and dashboards that make dataset health, pipeline state, and operational metrics visible to engineers and stakeholders.
• Build APIs and backend services that provide secure, performant access to large datasets while upholding strict governance and privacy controls.
• Raise engineering standards by improving CI/CD pipelines, integration tests, and dependency management.
• Own the lifecycle of critical data assets, including lineage tracking, access control, and schema enforcement.

You will work with both structured and semi‑structured data, combining SQL‑based platforms like Snowflake with NoSQL sources like MongoDB. You'll build resilient pipelines that handle versioning, schema evolution, and are GDPR compliant.

About You

• 5+ years of proficiency in Python, with experience building production services.
• Strong system design fundamentals, with experience evolving existing systems toward more generic, reusable designs.
• Experience designing and building APIs with security and performance requirements.
• Comfortable with containerization and orchestration tools like Docker and Kubernetes.
• Experienced with AWS services (S3, KMS, IAM) and Terraform for infrastructure as code.
• Skilled in designing and operating data ingestion and transformation workflows, with exposure to Snowflake or other SQL‑based analytics platforms.
• Familiar with CI/CD pipelines and version control practices, ideally using GitHub Actions or similar tools.
• Committed to building systems that are secure, observable, and follow strong data governance principles.
• Obsessed with reliability, observability, and data governance; you care deeply about logs, metrics, and traceability.
• Experience with structured logging, metrics instrumentation, and alerting.
• Strong fundamentals in data modeling, schema design, and backward‑compatible schema evolution.
• Comfortable working with NoSQL systems like MongoDB, especially for building ingestion frameworks, managing schema evolution, or integrating Change Streams into ETL pipelines.
• Knowledge of data partitioning strategies and large‑scale dataset optimization for analytics and ML.
• Experience with event‑driven data pipelines using SQS, SNS, Lambda, or Step Functions.

Nice to Have

• Proficiency in Go.
• Familiarity with annotation or labeling workflows and tooling.
• Exposure to monitoring and alerting stacks such as Datadog or Prometheus.
• Proficiency in Rust or an interest in learning it.

Worldcoin participates in the E‑Verify Program.

Worldcoin is an Equal Opportunity / Affiliated Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Worldcoin is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.