Data Platform Lead: Go, Kafka & AI-Driven ETL (Remote)

Fintech Ai Platform; Almada; Remote; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Remote-first

Flexible hours

24 days leave + paid sick leave

Job summary

UMO, a stealth-mode FinTech venture, is building a human-centered, AI-powered money platform across fiat, crypto, and investments. We seek a Data Technical Lead to own the data platform's technical direction, bridging high-performance backend engineering with complex data infrastructure.

You will architect distributed systems, lead Go development, mentor engineers, and accelerate delivery with AI-assisted tooling, in a remote-first, globally distributed team.

Qualifications

• 7+ years of experience in software engineering with a focus on data-intensive systems.

Responsibilities

• Define and evolve the architecture of high-load data platforms and services.
• Architect and build robust ETL/ELT pipelines and real-time data processing services using Golang.
• Design and own data flows and storage strategies for multiregional environments.
• Lead the development of event-driven systems, focusing on low latency and high throughput.
• Integrate and optimize AI Agents into the engineering workflow, managing rules, skills, and prompts to enhance team productivity.
• Ensure data consistency, reliability, and observability across the entire stack.
• Review code and provide technical mentorship to engineers (Golang/TypeScript).
• Make and document critical architectural decisions and technical trade-offs.

Skills

Golang

Kafka

TypeScript

PostgreSQL

ClickHouse

Distributed Systems

AI Tooling

Leadership

ETL/ELT

Data Pipelines

Tools

Kafka Connect

NATS

RabbitMQ

Redis Streams

gRPC

HTTP

WebSockets

Claude

Cursor

Job description

UMO, a stealth-mode FinTech venture, is building a human-centered, AI-powered money platform across fiat, crypto, and investments. We seek a Data Technical Lead to own the data platform's technical direction, bridging high-performance backend engineering with complex data infrastructure.

You will architect distributed systems, lead Go development, mentor engineers, and accelerate delivery with AI-assisted tooling, in a remote-first, globally distributed team.