Data Engineer: Real-Time IoT Pipelines & Cloud Platform

Continental Corporation; Lousado; Híbrido; EUR 45.000 - 65.000; Tempo integral

Benefícios oferecidos por esta vaga

International environment

Flexible working model

Collaborative working style

Talent training opportunities

Opportunity to make a difference

Resumo da vaga

Continental is seeking a Data Engineer in Portugal (Braga area) to design and optimize data platforms powering AI-driven solutions for our global fleet customers.

You will build real-time and batch data pipelines from IoT and telematics data, collaborate with data scientists and MLOps, and drive data quality, governance, and cost-efficient cloud workloads. A hybrid work model is offered.

Qualificações

• Bachelor's degree in Computer Science, IT, Engineering or related field.
• 2+ years of experience as a Data Engineer.
• Strong Python and SQL programming skills.
• Experience with data pipelines and IoT/telematics data is a plus.
• Familiarity with Agile project management (Scrum/Kanban).

Responsabilidades

• Design, build, and maintain scalable data pipelines for real-time and batch processing of IoT and telematics data.
• Develop and manage cloud-based data platforms, optimizing workflows for performance, scalability, and cost efficiency.
• Implement data quality, validation, and governance to ensure GDPR compliance.
• Collaborate with Data Scientists and MLOps Engineers to deliver reliable datasets for AI/ML services.
• Mentor junior engineers and promote best practices through knowledge-sharing sessions.

Conhecimentos

Python

SQL

Airflow

Spark

Databricks

Hadoop

Kafka

DBT

NoSQL

Time-series DB

Relational DBs

Agile

English

Formação

Bachelor's degree in CS/IT/Engineering

Ferramentas

Airflow

Spark

Databricks

Hadoop

Kafka

DBT

Descrição da vaga

Continental is seeking a Data Engineer in Portugal (Braga area) to design and optimize data platforms powering AI-driven solutions for our global fleet customers.

You will build real-time and batch data pipelines from IoT and telematics data, collaborate with data scientists and MLOps, and drive data quality, governance, and cost-efficient cloud workloads. A hybrid work model is offered.