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1,260

Cientista De Dados jobs in United Kingdom

Software Engineer (Big Data)

GraceMark Solutions

Sorocaba
On-site
BRL 120,000 - 160,000
4 days ago
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Engenheiro De Dados | Aws

Ds3 Digital

Porto Alegre
Remote
BRL 20,000 - 80,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Araçatuba
Remote
BRL 120,000 - 160,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Eusébio
Remote
BRL 330,000 - 496,000
4 days ago
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Engenheiro De Dados Pleno (Gcp)

Uol - Universo Online

Propriá
Hybrid
BRL 20,000 - 80,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Lagoa Santa
Remote
BRL 120,000 - 160,000
4 days ago
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Analista de Dados

Tely

João Pessoa
On-site
BRL 80,000 - 120,000
4 days ago
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Engenheiro de Dados Sênior (com experiência em configuração de Databricks na Azure)

MOL

Londrina
Remote
BRL 20,000 - 80,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Pouso Alegre
Remote
BRL 120,000 - 160,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Campo Largo
Remote
BRL 220,000 - 386,000
4 days ago
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Data Analyst

Nuvia

Salvador
Hybrid
BRL 120,000 - 160,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Propriá
Remote
BRL 440,000 - 662,000
4 days ago
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Engenheiro de Dados

Framework Digital

Londrina
Hybrid
BRL 20,000 - 80,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Jundiaí
Remote
BRL 120,000 - 160,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Caieiras
Remote
BRL 120,000 - 160,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Valinhos
Remote
BRL 120,000 - 160,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Alvorada
Remote
BRL 120,000 - 160,000
4 days ago
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Engenheiro De Dados | Aws

Ds3 Digital

São Paulo
Remote
BRL 20,000 - 80,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Camaçari
Remote
BRL 120,000 - 160,000
4 days ago
Be an early applicant

Senior Data Engineer

Tata Consultancy Services

Serra
On-site
BRL 80,000 - 120,000
4 days ago
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Gcp Data Engineer

Tata Consultancy Services

Montanha
On-site
BRL 120,000 - 150,000
4 days ago
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Engenheiro De Dados Sênior (Com Experiência Em Configuração De Databricks Na Azure)

Mol

Belém
Hybrid
BRL 20,000 - 80,000
4 days ago
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Senior Staff Engineer (Machine Learning) - 45391

Turing

Montes Claros
Remote
BRL 440,000 - 662,000
4 days ago
Be an early applicant

Engenheiro de Dados - BeFly

BeFly

Belém
On-site
BRL 20,000 - 80,000
4 days ago
Be an early applicant

Engenheiro De Dados Pleno (Ia - Bi)

Martinelli Advogados

Ivoti
On-site
BRL 20,000 - 80,000
4 days ago
Be an early applicant

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Software Engineer (Big Data)
GraceMark Solutions
Sorocaba
On-site
BRL 120,000 - 160,000
Full time
4 days ago
Be an early applicant

Job summary

A tech solutions company based in Sorocaba is looking for a Big Data Engineer skilled in Java or Python for backend development. The role involves developing services, optimizing data pipelines using Hadoop and Spark, and enhancing large-scale systems. Candidates should have 3–5 years' experience in backend engineering with proficiency in Big Data technologies. Strong communication skills and familiarity with consumer tech environments are essential. This position offers a competitive monthly compensation of ~$2,200 USD.

Qualifications

  • 3–5 years of experience in backend engineering with Java / Python.
  • Hands-on experience with Big Data technologies: Hadoop, Spark, and/or MapReduce.
  • Ability to build and maintain distributed systems for large data volumes.

Responsibilities

  • Develop and enhance backend services using Java or Python.
  • Work directly with Big Data pipelines using Hadoop, MapReduce, and Spark.
  • Improve performance and maintainability of large-scale distributed systems.

Skills

Java
Python
Hadoop
Spark
MapReduce
Communication skills

Tools

Power BI
Job description

Big Data Engineer (Java / Python Backend) - Recomendation Platforms São Paulo, Brazil

Contract Duration : September 2025 – March 2026

Compensation : ~$2,200 USD / month (as FTE)

What You'll Do

Develop and enhance backend services using Java or Python, contributing across the full product lifecycle.

Work directly with Big Data pipelines using Hadoop, MapReduce, and Spark (current systems run on MapReduce, with active migration to Spark).

Collaborate with product, design, and client teams to understand user impact and translate requirements into scalable technical solutions.

Improve performance, reliability, and maintainability of large-scale distributed systems.

Apply automation where beneficial and contribute to continuous system improvements.

Communicate technical decisions clearly, including the ability to describe and interpret system diagrams and architectural flows.

What We're Looking For

3–5 years of experience in backend engineering with strong proficiency in Java / Python.

Hands-on experience with Big Data technologies: Hadoop, Spark, and / or MapReduce.

Ability to build, optimize, and maintain distributed systems that handle large data volumes.

Strong communication skills, especially to explain architecture, data flow, and user impact.

Experience working on consumer-facing or large-scale product environments.

Familiarity with Big Data tooling (e.g., Power BI, data pipelines) is a plus.

Experience with basic automation is helpful (testing is not a core requirement).

Who Will Thrive in This Role

Engineers who have real hands-on Big Data experience—not just surface-level exposure.

Professionals who understand how backend decisions affect user experience.

Those with experience in industries similar to large-scale consumer tech, social platforms, AI-driven products, or high-traffic data ecosystems (e.g., recommendation systems, content discovery, digital media platforms).

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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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