Ebury

4 weeks ago

Data Engineer II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Build and optimize ELT/ETL pipelines across APIs, transactional DBs, and file-based endpoints while shaping scalable data infrastructure to enable ML models and AI agents. Collaborate with stakeholders to identify high-impact data opportunities and implement production-grade solutions using Airflow, GCP, dbt, and related tooling to ensure robust data contracts and reliable analytics.

Location: São Paulo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
•Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
•Business Partnership: Work with stakeholders to identify high-impact opportunities and take autonomous initiative when improvements are found.
•Engineering Excellence: Apply top-tier software practices to ensure the platform is scalable and production-ready.
•Collaborate across the team to reinforce best practices and quality, ensuring data pipelines are robust and maintainable.

Pay and Benefits

Perks:Health InsuranceWellhubPlr

Key Requirements

•Python and SQL: deep command of both with 2+ years of experience.
•Agile problem-solving: thrive on daily challenges and deliver production-grade solutions quickly.
•Business partner mindset: proactive and business-curious, understand the impact of your code on the bottom line.
•English proficiency: advanced; you will use English in a global team.
•Collaborative mindset: work with teammates to reinforce best practices and quality across the platform.

Experience:2+ years

Skills:CommunicationProblem-solvingCollaborationStakeholder managementTeamwork

Languages:EnglishSpanish

Tech Stack:AirflowCloud ComposerGCPGKECloud RunFunctionsArtifact RegistryDLTDbtDuckDBDockerGitHub ActionsPythonSQLLLMsVector DatabasesAI Agents

Company Brief

Ebury

Provides international payments, FX, and treasury solutions for SMEs and mid-market companies, enabling cross-border transactions, multi-currency accounts, and financing services to support global trade and cash flow management.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 2009

Website LinkedIn

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Ebury

4 weeks ago

Data Engineer II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: São Paulo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
•Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
•Business Partnership: Work with stakeholders to identify high-impact opportunities and take autonomous initiative when improvements are found.
•Engineering Excellence: Apply top-tier software practices to ensure the platform is scalable and production-ready.
•Collaborate across the team to reinforce best practices and quality, ensuring data pipelines are robust and maintainable.

Pay and Benefits

Perks:Health InsuranceWellhubPlr

Key Requirements

•Python and SQL: deep command of both with 2+ years of experience.
•Agile problem-solving: thrive on daily challenges and deliver production-grade solutions quickly.
•Business partner mindset: proactive and business-curious, understand the impact of your code on the bottom line.
•English proficiency: advanced; you will use English in a global team.
•Collaborative mindset: work with teammates to reinforce best practices and quality across the platform.

Experience:2+ years

Skills:CommunicationProblem-solvingCollaborationStakeholder managementTeamwork

Languages:EnglishSpanish

Tech Stack:AirflowCloud ComposerGCPGKECloud RunFunctionsArtifact RegistryDLTDbtDuckDBDockerGitHub ActionsPythonSQLLLMsVector DatabasesAI Agents

Company Brief

Ebury

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: London, United Kingdom

Founded: 2009

Website LinkedIn