Data Engineer

About Us

UMO is a stealth-mode FinTech venture aiming to evolve the way people experience money by building a unified, AI-powered, yet deeply human modern money platform across fiat, crypto, and investments - subject to regulatory approvals. The platform is being designed to break down traditional barriers to money across access, assets, and experience, enabling simpler, more adaptive ways for people to interact with financial services.

We are currently developing our MVP and navigating licensing requirements, with a multidisciplinary team of 100+ people representing 20+ nationalities. With our headquarters in the UAE and offices in Portugal and Ukraine, we are united behind a shared ambition and a relentless focus on serving our customers.

About the Role

At UMO, Data Engineering isn't just about moving bits from A to B; it is the Decision Layer of the company. You will build the infrastructure that allows our AI to understand user intent in real-time, identifying triggers to make UMO a proactive financial assistant.

We are looking for an engineer with a strong Golang DNA who takes pride in technical excellence. You aren’t satisfied with just "making it work" — you care about scalability, performance, and the elegance of data architecture. At UMO, you’ll have the autonomy to truly own the systems you build and use AI-assisted development (Claude/Cursor) to 10x your impact.

Technology Stack:

• Core Languages: Golang (Primary), TypeScript
• Streaming & Messaging: Kafka (Core), Kafka Connect (CDC), NATS, RabbitMQ, Redis Streams
• Data & Storage: PostgreSQL, Redis, ClickHouse
• AI Tooling: Claude, Cursor (custom rules, skills management)
• Transport & Integration: gRPC, HTTP, WebSockets
• Infrastructure: Docker, Linux, Kubernetes
• Monitoring: Prometheus, Grafana, Loki

Key Responsibilities:

• Decision Layer Infrastructure: Build and manage high-velocity ETL/ELT pipelines and real-time data processing services using Golang.
• AI-Native Data Strategy: Ensure data quality and accessibility for our AI models, treating LLMs as primary consumers of your data layers.
• Global Scale Data: Implement data systems that handle multiregional data residency and synchronization across different geographic locations.
• Streaming Excellence: Build and maintain event-driven systems and data streams using Kafka and Kafka Connect.
• AI-Assisted Development: Optimize your workflow using Claude and Cursor, managing custom rules and skills to accelerate development cycles.
• Data Governance: Maintain the highest standards of data protection (GDPR, UAE PDPL), ensuring data is always used in the user's best interest.

Requirements:

• 4+ years of experience in software engineering with a focus on data-intensive systems.
• Strong proficiency in Golang: Experience building high-performance services and a deep understanding of Go concurrency.
• Data Streaming: Practical experience with Kafka and event-driven architectures.
• Pipeline Expertise: Hands-on experience building robust ETL/ELT pipelines.
• Multiregional Awareness: Understanding of the challenges associated with data physically located in different regions.
• AI-First Mindset: You treat AI as a teammate. You are comfortable working alongside LLMs and configuring Cursor/Claude to boost efficiency.
• Technical Ownership: A "Right to Repair" mentality—if you see a bug or a broken process, you own the fix.
• English proficiency: B2+ level.

The UMO Standard:

• Dynamic Work Environment: Vibrant offices and strong local teams across Lisbon, Dubai, Kyiv, and Lviv — with openness to remote for the right fit.
• Rest & Recovery: 24 days of annual leave, dedicated paid sick leave, and observance of Public Holidays to keep you at your best.
• Recharge Week: After your first year with us, enjoy two consecutive 4-day work weeks annually — a built-in reset to help you sustain peak performance for the long run.
• Full Setup: Top-of-the-line hardware and a home office stipend so you can do your best work anywhere.
• Growth Ecosystem: A dedicated learning budget and a clear, accelerated path toward executive-level leadership within the UMO ecosystem.
• Impact & Ownership: Your work directly shapes the product and company direction — not just executes it.