Data Technical Lead

Anonymous; Lisboa; Remote; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working hours

Learning budget

24/7 remote-first culture

Job summary

UMO, a stealth-mode FinTech with offices in Portugal and Ukraine, is looking for a Data Technical Lead to steer the data platform architecture across multi‑regional environments.

You will be hands-on in Golang, mentor engineers, design distributed systems, and integrate AI-assisted tooling to accelerate delivery in a remote‑first, flexible work culture. A strong focus on data pipelines and observability is essential.

Qualifications

• 7+ years of experience in software engineering with a focus on data-intensive systems.
• Expert-level Golang: Deep understanding of concurrency patterns, performance tuning, and idiomatic Go.
• Data Streaming Expert: Proven track record with Kafka (including Kafka Connect) and event-driven architectures.
• Pipeline Mastery: Extensive experience building and maintaining complex ETL/ELT pipelines.
• AI Savvy: Hands‑on experience using AI agents/LLMs (Claude, Cursor) to speed up development; ability to configure system rules and custom skills.
• Database Deep-Dive: Strong knowledge of PostgreSQL and ClickHouse (OLAP).
• Distributed Systems: Experience handling multiregional data (latency, residency, and synchronization challenges).
• Technical Leadership: Experience mentoring senior engineers and leading architectural reviews.

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

Data pipelines

ETL/ELT

AI/LLMs

PostgreSQL

ClickHouse

Distributed systems

Technical leadership

TypeScript

Tools

Kafka Connect

gRPC

HTTP

Web Sockets

Type Script

Job description

UMO is a stealth-mode Fin Tech 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.

What You'll Do

We are looking for a Data Technical Lead with a strong engineering DNA in Golang to own the technical direction of our data platform. In this role, you will be the bridge between high-performance backend engineering and complex data infrastructure. You will lead the design of distributed systems, ensuring that our data flows are scalable, reliable, and consistent across multiple regions. This is a hands‑on leadership role where you will not only architect systems but also set the gold standard for Go development, mentor engineers, and leverage AI-assisted development (Claude/Cursor) to accelerate delivery.

Key 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/Type Script). Make and document critical architectural decisions and technical trade-offs.

• Core Languages: Golang (Primary), Type Script
• Streaming & Messaging: Kafka (Core), Kafka Connect (CDC), NATS, Rabbit MQ, Redis Streams
• AI Tooling: Claude, Cursor (custom rules, skills management)
• Transport & Integration: g RPC, HTTP, Web Sockets

Requirements

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

Expert-level Golang: Deep understanding of concurrency patterns, performance tuning, and idiomatic Go.

Data Streaming Expert: Proven track record with Kafka (including Kafka Connect) and event-driven architectures.

Pipeline Mastery: Extensive experience building and maintaining complex ETL/ELT pipelines.

AI Savvy: Hands‑on experience using AI agents/LLMs (Claude, Cursor) to speed up development; ability to configure system rules and custom skills.

Database Deep-Dive: Strong knowledge of Postgre SQL and Click House (OLAP).

Distributed Systems: Experience handling multiregional data (latency, residency, and synchronization challenges).

Technical Leadership: Experience mentoring senior engineers and leading architectural reviews. Solid knowledge of Type Script for data-related tools or internal platforms.

Nice to Have

Experience with Kafka Connect (custom connectors, complex transformations). Background in fintech, neobanks, or highly regulated environments. Knowledge of Click House optimization and performance tuning at sc.

Compensation

A highly competitive salary package that recognizes your expertise and contribution.

Modern Work Culture

Embrace a remote‑first environment with flexible working hours, designed to support your work‑life harmony.

Generous Time Off

Annual Leave- 24 days, dedicated paid sick leave, and Public Holidays.

Professional Evolution

Grow your skills with a dedicated learning budget and clear pathways for accelerated career development.

Meaningful Impact

Join a world‑class team building a prestigious, next‑generation modern money platform that is redefining the future of finance.