Data Technical Lead - Remote

Fintech Ai Platform; Almada; Teletrabalho; EUR 90 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote-first

Flexible hours

24 days leave + paid sick leave

Resumo da oferta

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.

Qualificações

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

Responsabilidades

• 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.

Conhecimentos

Golang

Kafka

TypeScript

PostgreSQL

ClickHouse

Distributed Systems

AI Tooling

Leadership

ETL/ELT

Data Pipelines

Ferramentas

Kafka Connect

NATS

RabbitMQ

Redis Streams

gRPC

HTTP

WebSockets

Claude

Cursor

Descrição da oferta de emprego

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.

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/TypeScript).
• Make and document critical architectural decisions and technical trade-offs.
• Core Languages: Golang (Primary), TypeScript
• Streaming & Messaging: Kafka (Core), Kafka Connect (CDC), NATS, RabbitMQ, Redis Streams
• AI Tooling: Claude, Cursor (custom rules, skills management)
• Transport & Integration: gRPC, HTTP, WebSockets

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 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.
• Solid knowledge of TypeScript 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 ClickHouse 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.