Senior Data Engineer (m/f)

Claire Joster; Corumbá; Híbrido; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

Uma empresa de recrutamento busca um Engenheiro de Dados Sênior para projetar pipelines de dados e liderar a estratégia de dados para um cliente do setor de energia. O profissional será responsável por colaborar em equipes, traduzir requisitos de negócios em soluções de dados e integrar ferramentas avançadas, como AI e ML. A posição oferece horários flexíveis e a possibilidade de trabalho remoto, juntamente com um pacote de benefícios de saúde abrangente.

Serviços

Horários flexíveis e possibilidade de trabalho remoto

Seguro de saúde (incluindo cobertura familiar)

Qualificações

• Pelo menos 7 anos de experiência em Engenharia de Dados.
• Fluente em inglês, escrito e falado.
• Experiência em desenvolvimento ETL/ELT e ferramentas.

Responsabilidades

• Colaborar com equipes multifuncionais para entender as necessidades de dados.
• Design, construção e manutenção de pipelines de dados.
• Integrar ferramentas de AI/ML para detecção de anomalias.

Conhecimentos

Machine learning engineering

Problem-solving

Communication

Proatividade

Formação académica

Degree in Software Engineering

Degree in Computer Science

Ferramentas

Docker

AWS

Azure

Grafana

Descrição da oferta de emprego

Claire Joster is recruiting a Senior Data Engineer (m/f) to design data pipelines and lead data strategy for an energy sector client.

Functions

• Collaborate with cross-functional teams to understand data needs;
• Translate business requirements into scalable and reliable data solutions;
• Design, build, and maintain data pipelines;
• Ensure scalability, performance, and reliability of data workflows;
• Apply best practices in CI/CD, version control, and data quality monitoring;
• Integrate AI/ML tools for anomaly detection and predictive checks;
• Ensure observability using platforms like Grafana or similar tools;
• Mentor team members and support their technical development;
• Promote clean architecture, proper documentation, and the use of AI-assisted development tools such as GitHub Copilot.

Requirements

Key qualifications:

• Degree in Software Engineering, Computer Science, or a related field;
• At least 7 years of experience in Data Engineering, Architecture, or similar roles;
• Extensive engineering skills, including machine learning engineering;
• Proficiency in multiple programming languages (Python, Java, Scala, C/C#) and SQL/NoSQL database management systems (MySQL, Oracle, MongoDB);
• Hands-on experience in ETL/ELT development and tools;
• Experience with machine learning libraries and frameworks (Tensorflow, Spark) and big data technologies (Hadoop, Kafka);
• Knowledge of time series databases (TimescaleDB, InfluxDB);
• Strong communication and problem-solving skills;
• High level of autonomy and proactivity;
• Experience in leading and mentoring teams;
• Ability to learn, adapt to, and apply new technologies and innovations;
• Fluent in English, written and spoken.

Nice to Have:

• Experience with Docker;
• Experience with public cloud providers (AWS, Azure);
• Microservices architecture knowledge (API Gateways, API composition);
• Hot/cold storage management;
• Good understanding of the industry standards and best practices;
• Experience with Cloud and self-hosted solutions.

Perks & Benefits

• Flexible working hours and the possibility to work remotely;
• Health insurance (including family coverage).