Tech Lead, Data Platform (Go) — Real-Time FinTech Data

UMO; Lisboa; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Remote work

Annual leave 24d

Sick leave

Public holidays

Home office stipend

Learning budget

Growth opportunities

Ownership & impact

Zusammenfassung

UMO is seeking a Data Lead to steer the Data squad, shaping a high-load Go-based platform supporting analytics and production data products. You will drive architectural decisions, own end-to-end outcomes, and work on real-time pipelines from operational sources.

You will mentor engineers across Go and TS, champion data residency and auditability, and apply AI tooling to accelerate design and delivery in a global fintech environment.

Qualifikationen

• 5+ years of engineering leadership of a team
• Production-grade Go experience with concurrency
• Proven experience building CDC/ELT pipelines
• Hands-on PostgreSQL and ClickHouse in regulated environments
• FinTech data platform experience preferred
• Experience integrating AI tooling into pipelines
• Strong communication and cross-team collaboration

Aufgaben

• Lead and grow a high-performing data & backend squad
• Define and evolve architecture for high-load data platform
• Design robust ETL/ELT pipelines and real-time services in Go
• Ensure data residency, segregation, auditability and retention
• Design event-driven data flows and CDC pipelines (NATS, PostgreSQL)
• Mentor engineers across Go and TypeScript stacks
• Incorporate AI agents into engineering workflows to boost productivity

Kenntnisse

Go mastery

Data streaming

PostgreSQL

ClickHouse

FinTech regulation

AI tooling

Leadership

Tools

Kafka

Kafka Connect

NATS

ClickHouse

Jobbeschreibung

UMO is seeking a Data Lead to steer the Data squad, shaping a high-load Go-based platform supporting analytics and production data products. You will drive architectural decisions, own end-to-end outcomes, and work on real-time pipelines from operational sources.

You will mentor engineers across Go and TS, champion data residency and auditability, and apply AI tooling to accelerate design and delivery in a global fintech environment.