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2,732

Data Scientist jobs in Brazil

Senior Data Engineer

Hostelworld

Vila Velha
Remote
BRL 530,000 - 690,000
22 days ago
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Engenheiro de dados SR

Stone

Recife
On-site
BRL 20,000 - 80,000
22 days ago

Senior Data Engineer (Databricks + GCP) - Marketing Analytics (Brazil)

Truelogic

São Paulo
Remote
BRL 80,000 - 120,000
22 days ago

Machine Learning Engineer (GenAI & Multimodal Systems) - Creative Tech Studio (Brazil)

Truelogic

São Paulo
Remote
BRL 160,000 - 200,000
22 days ago

Engenheiro(a) de IA & Dados

RD Saúde Manipulação

São Paulo
Hybrid
BRL 20,000 - 80,000
22 days ago
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Sr Data Analyst

Invillia

Brazil
Remote
BRL 120,000 - 160,000
22 days ago

Página da Vaga | Engenheiro de IA e Dados Sênior

Redbelt Security

São Paulo
Hybrid
BRL 20,000 - 80,000
22 days ago

Analista de Dados Jr

Grupo Level

Itajaí
On-site
BRL 80,000 - 120,000
22 days ago
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Analista de Dados II

Confidencial Geral

São Paulo
Hybrid
BRL 80,000 - 120,000
22 days ago

ANALISTA DE DADOS | USECAR

Carbel Auto Group

Belo Horizonte
Hybrid
BRL 80,000 - 120,000
23 days ago

Analista de TI Junior

Pacaembu Construtora

Londrina
On-site
BRL 80,000 - 120,000
23 days ago

Analista de Dados III (Sênior)

Unimed Porto Alegre

Porto Alegre
Hybrid
BRL 80,000 - 120,000
23 days ago

Senior Data Engineer (427)

Ubiminds

Brazil
Remote
BRL 80,000 - 120,000
23 days ago

Engenheiro de Dados AWS - Sênior

Iventis Tecnologia

São Paulo
On-site
BRL 20,000 - 80,000
25 days ago

Data Analyst - PWD/PCD

CloudWalk

São Paulo
On-site
BRL 120,000 - 160,000
25 days ago

Analista De Dados - Suprimentos

Jalles

Goianésia
On-site
BRL 80,000 - 120,000
25 days ago

Analista de Dados Sênior

Allos

Vitória
On-site
BRL 80,000 - 120,000
25 days ago

Engenheiro De Dados

Framework Digital

Vitória
On-site
BRL 20,000 - 80,000
25 days ago

Analista De Ti Junior

Master Cargas Brasil

Ponta Grossa
On-site
BRL 80,000 - 120,000
25 days ago

BRAVEO - Analista de Dados/ Projetos - Limeira/SP

Braveo

Limeira
On-site
BRL 80,000 - 120,000
25 days ago

Engenheiro De Dados

Beesby

Contagem
On-site
BRL 20,000 - 80,000
25 days ago

Analista De Dados

Bruno Vanderlei Advogados Associados

Recife
On-site
BRL 80,000 - 120,000
25 days ago

Analista De Dados Sênior

ALLOS

Linhares
On-site
BRL 80,000 - 120,000
25 days ago

Analista de Dados Sênior

Allos

Natal
On-site
BRL 80,000 - 120,000
25 days ago

Senior Data Engineer

Stefanini Group

Carapicuíba
On-site
BRL 80,000 - 120,000
25 days ago

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Senior Data Engineer
Hostelworld
Remote
BRL 530,000 - 690,000
Full time
22 days ago

Job summary

A global hospitality platform is seeking a Senior Data Engineer to lead the modernization of a newly acquired company's data ecosystem. This role involves designing robust ELT pipelines, collaborating with cross-functional teams, and applying best practices in cloud-native engineering on Google Cloud Platform. Candidates should possess strong experience in Python and data engineering with a proven ability to drive excellence in data workflows. The position offers a fully remote work environment with competitive salary and benefits.

Benefits

Competitive salary & benefits
Enhanced annual leave plus 3 Wellbeing Days
Paid family leave
Agile working with Work from Abroad Policy
Support for ongoing growth & development
Inclusive people policies
5 paid volunteering days

Qualifications

  • 5+ years of experience in data engineering, designing and maintaining data pipelines.
  • 3+ years of experience as a Python developer, developing data processing scripts.
  • 2+ years of experience in GCP, including managing ETL/ELT pipelines.

Responsibilities

  • Lead integration and modernization of a recently acquired data ecosystem.
  • Build, orchestrate, and maintain scalable ELT pipelines.
  • Drive excellence in software development lifecycle from design to monitoring.

Skills

Data engineering
Python
Google Cloud Platform (GCP)
Data pipelines
Agile methodologies

Tools

Astro (Airflow)
DBT
BigQuery
Job description

At Hostelworld (Permanent), in Porto, Portugal

Expires at: 2026-03-26

Remote policy: Full remote

WHO YOU'LL WORK WITH

You will play a key role in a diverse, highly-talented team managing cloud-native data engineering systems to consistently ensure the timely, accurate and secure production and delivery of data from the Hostelworld platform.

You will work closely with other technology groups and business owners to refine quality standards and processes for Data processing design, pipeline design, development and deployment. The underlying purpose is to ensure we have an efficient, robust, secure and performant data service to support our business growth.

WHAT YOU'LL DO

We’re seeking a Senior Data Engineer to lead the integration and modernization of a recently acquired company’s data ecosystem. You’ll collaborate closely with our new colleagues to learn, document, and understand their existing data product — currently based on Python and Airtable — and work to evolve it into our modern Google Cloud Platform (GCP) stack.

This is a hands‑on, strategic role that combines architecture, delivery excellence, and collaboration. You’ll bring strong software engineering discipline to our data workflows, ensuring all pipelines are built with testability, version control, and CI/CD best practices in mind.

Bridge and Modernize Systems
  • Learn and document the acquired company’s current data ecosystem, including Airtable structures, Python scripts, and API integrations.
  • Translate that understanding into clear technical documentation and communicate findings back to our internal data and engineering teams.
  • Design and lead a modernization roadmap to integrate their systems into our GCP‑based medallion architecture.
  • Champion pragmatic migration strategies that balance business continuity with long‑term scalability.
Design and Deliver Robust Data Pipelines
  • Build, orchestrate, and maintain scalable ELT pipelines using Astro (Airflow), DBT, and BigQuery.
  • Ingest data from APIs and third‑party systems into our unified data model.
  • Embed data validation, testing, and observability into every stage of the pipeline.
Apply Engineering Best Practices
  • Drive excellence in the software development lifecycle (SDLC) — from design and peer review to automated testing, deployment, and monitoring.
  • Implement and improve CI/CD pipelines for data workflows (e.g., Astro Cloud, GitHub Actions, Terraform).
  • Promote a “data‑as‑code” mindset, ensuring reproducibility, versioning, and auditability across environments.
Collaborate and Lead in an Agile Environment
  • Act as a senior contributor in the teams Scrum ceremonies (planning, review, retrospectives), driving transparency and continuous improvement.
  • Communicate findings, technical designs, and migration recommendations clearly and proactively to internal stakeholders.
  • Partner with global data and software teams to align on design standards, delivery milestones, and business priorities.
WHAT WE’RE LOOKING FOR

5+ years of experience in data engineering, designing, building, and maintaining robust, cloud‑native data pipelines.

3+ years of experience as a Python developer, developing data processing scripts, automation, and API integrations.

2+ years of experience in Google Cloud Platform (GCP), including deploying and managing scalable ETL/ELT pipelines.

  • Proven track record with orchestration and transformation tools, including Astro (Airflow) and DBT.
  • Strong understanding of data quality, testing, and observability frameworks (e.g., Great Expectations, dbt tests).
  • Experience implementing CI/CD pipelines for data workflows using tools such as GitHub Actions, Terraform, and Astro Cloud.
  • Familiarity with Agile and Scrum practices, with experience collaborating in cross‑functional teams and leading technical discussions.
  • Demonstrated ability to learn, document, and modernize legacy data systems while communicating technical findings clearly to internal stakeholders.
Nice to have
  • Experience working with Airtable and integrating its API into larger data systems
  • Hands‑on experience with BigQuery for data storage, analytics, and transformation.
WHAT WE OFFER
  • Competitive salary & benefits
  • Enhanced annual leave plus 3 Wellbeing Days per year
  • Paid family leave (maternity, paternity, surrogacy & adoption)
  • Agile working (plus a Working from Abroad Policy!)
  • Support for your ongoing growth & development
  • Inclusive people policies (sickness, menopause, compassionate and fertility leave)
  • A chance to give back to your local community with 5 paid volunteering days
OUR BEHAVIOURS

Grow others - We fundamentally believe that investing in growing others benefits everyone, whether it’s helping them develop hard or soft skills. We want learning and growing to be part of our DNA to help makes us a better team, together.

Master it - We are obsessed with our area of expertise and enjoy developing our skills. We rarely take things at face value; we investigate, interrogate, and always look for ‘the why,’ and wherever possible, we use data to find the best solution.

Collaborate - We are in it together, for the tough stuff and the celebrations too. To achieve the best results, we need expertise from all areas of the organisation, and we wholeheartedly welcome diverse thinking.

Adapt - We work fluidly, adapting to new information and the evolving environment while staying committed to our goals. Innovation and experimentation fuel our projects and we’re never afraid to pivot.

Deliver - Our focus is always on the end result; we value outcomes over activity. We collaborate to deliver work at speed without dropping any of our other behaviours.

We believe in talented and diverse teams that reflect the diversity of our customers and the communities in which we operate. Everyone brings different perspectives and experiences. We lay out the above requirements to guide applicants to the experiences that we believe will allow you to be successful in the role. If you don’t meet them all, please consider applying if you think you can still perform the role as described.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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