Ebury

1 week ago

Data Analytics Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Build and maintain the Data Platform by designing and operating ELT/ETL data pipelines, ETLs, and data models that power analytics and BI. Own pipeline orchestration with Airflow, transform data for downstream analysis, and automate data extracts to enable high-value insights. You’ll work end to end—from gathering requirements and delivering projects to promoting best practices across query development, version control, testing, and documentation, while supporting data governance and quality.

Location: São Paulo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Gather business requirements and define action plans, collaborating with stakeholders to influence data solutions and implementation.
•Work end to end on projects from definition to delivery, serving hands-on data models using software engineering practices.
•Design, develop, deploy, and maintain ELT/ETL data pipelines from transactional databases, REST APIs, and file-based endpoints.
•Provide clean, transformed data for analysis and BI usage, including developing department and project-specific data models to drive decisions.
•Manage pipeline orchestration using Airflow (hosted in Cloud Composer) and support data quality, governance, and best practices.

Key Requirements

•2+ years of data/analytics engineering experience building, maintaining, and optimizing data pipelines and ETL processes in big data environments.
•Proficiency in SQL.
•Mid-level experience with Python.
•Familiarity with dimensional modelling and data warehousing concepts.
•Attention to detail and commitment to data quality.

Experience:2+ yearsFintechData engineering

Skills:Attention to detailCollaboration

Languages:EnglishSpanish

Tech Stack:Google Cloud PlatformApache AirflowCloud ComposerCloud BuildDbtLookerLooker StudioGitHubJiraBigQueryDataStudioREST APIsCI/CDELTETL

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

1 week ago

Data Analytics Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 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

•Gather business requirements and define action plans, collaborating with stakeholders to influence data solutions and implementation.
•Work end to end on projects from definition to delivery, serving hands-on data models using software engineering practices.
•Design, develop, deploy, and maintain ELT/ETL data pipelines from transactional databases, REST APIs, and file-based endpoints.
•Provide clean, transformed data for analysis and BI usage, including developing department and project-specific data models to drive decisions.
•Manage pipeline orchestration using Airflow (hosted in Cloud Composer) and support data quality, governance, and best practices.

Key Requirements

•2+ years of data/analytics engineering experience building, maintaining, and optimizing data pipelines and ETL processes in big data environments.
•Proficiency in SQL.
•Mid-level experience with Python.
•Familiarity with dimensional modelling and data warehousing concepts.
•Attention to detail and commitment to data quality.

Experience:2+ yearsFintechData engineering

Skills:Attention to detailCollaboration

Languages:EnglishSpanish

Tech Stack:Google Cloud PlatformApache AirflowCloud ComposerCloud BuildDbtLookerLooker StudioGitHubJiraBigQueryDataStudioREST APIsCI/CDELTETL

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