Data Engineer – Industrial IoT & Real-Time Analytics

Nokia; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading technology company is seeking a Data Engineer to design and implement real-time data architectures for industrial IoT and analytics. The role involves developing data pipelines, ensuring data governance, and collaborating with AI and automation teams. Ideal candidates will have strong expertise in data streaming and cloud solutions, contributing to innovative projects in a dynamic environment.

Serviços

Continuous learning

Well-being programs

Diverse teams with an inclusive culture

Qualificações

• 5+ years of experience in real-time data engineering or industrial IoT.
• Hands-on experience with Big Data technologies like Kafka and Spark Streaming.
• Proficiency in Python, Scala, or Java for data processing.

Responsabilidades

• Design and implement real-time data pipelines for industrial sensor data.
• Develop low-latency, high-throughput streaming architectures.
• Ensure data governance, security, and compliance with standards.

Conhecimentos

Data Streaming

Event-Driven Processing

Distributed Computing

Problem Solving

Collaboration

Communication

Formação académica

Bachelor’s or Master’s degree in Computer Science

Ferramentas

Kafka

Apache Flink

Spark Streaming

TimescaleDB

InfluxDB

AWS Kinesis

Google Pub/Sub

Descrição da oferta de emprego

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Job Description

We are looking for a Data Engineer to design and implement large-scale, real-time data architectures that power AI, predictive maintenance, and industrial automation in mission-critical environments. This role will ensure high availability, accuracy, and efficiency in processing real-time industrial data.

How You Will Contribute And What You Will Learn

• Design and implement real-time data pipelines for ingesting, processing, and visualizing industrial sensor data.
• Develop low-latency, high-throughput streaming architectures using Kafka, Apache Flink, or Spark Streaming.
• Build and optimize secure, scalable data lakes and ETL pipelines for mining, oil & gas, and heavy industry applications.
• Implement event-driven architectures and data transformation workflows for AI-powered automation.
• Ensure data governance, security, and compliance with industrial cybersecurity standards (IEC 62443, ISO 27001, GDPR).
• Work with AI engineers, cloud architects, and automation teams to enable real-time AI decision-making.
• Optimize time-series data processing using TimescaleDB, InfluxDB, or OpenTSDB.
• Deploy cloud-based data solutions with AWS Kinesis, Google Pub/Sub, Snowflake, or Grafana.
• Monitor data pipeline performance with modern observability frameworks (e.g., Prometheus), ensuring fault tolerance, scalability, versioning, and efficiency.
• Collaborate with industrial automation and IoT teams to integrate edge-to-cloud data flows.

Key Skills And Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in real-time data engineering, cloud computing, or industrial IoT.
• Strong expertise in data streaming, event-driven processing, and distributed computing frameworks.
• Hands-on experience with Big Data technologies like Kafka, Apache Flink, Spark Streaming, or similar.
• Deep knowledge of ETL design, data warehousing, and real-time analytics.
• Experience with SQL and NoSQL databases, including TimescaleDB, InfluxDB, Cassandra, or MongoDB.
• Proficiency in Python, Scala, or Java for data processing and automation.
• Understanding of IoT protocols (MQTT, OPC-UA, Modbus) and industrial data standards.
• Familiarity with DevOps and MLOps practices, including CI/CD pipelines for data workflows.
• Knowledge of cloud-native data solutions (AWS Kinesis, Google Pub/Sub, Azure Event Hub).
• Familiarity with workflow orchestration platforms like Apache Airflow.

Preferred Qualifications

• Experience in mining, oil & gas, or large-scale industrial automation projects.
• Knowledge of machine learning model deployment in real-time environments.
• Understanding of GIS data processing, geospatial analytics, and digital twin integrations.
• Experience with cybersecurity frameworks for industrial data environments.

Soft Skills

• Strong problem-solving skills, capable of optimizing large-scale data architectures.
• Ability to collaborate across teams, including AI, cloud, and industrial operations.
• Effective communication skills for translating technical data insights into business strategies.
• Passion for real-time data processing, AI-driven automation, and industrial innovation.

About Us

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed, and cloud networks. Your career here will have a positive impact on people’s lives and will help us build a more productive, sustainable, and inclusive world.

We foster an inclusive work environment where new ideas are welcomed, risks are encouraged, and authenticity is valued.

What We Offer

Nokia offers continuous learning, well-being programs, support through employee resource groups, mentoring, and diverse teams with an inclusive culture where people thrive.

Inclusion & Equal Opportunity

Nokia is committed to inclusion and equal opportunity employment, recognized as one of the World’s Most Ethical Companies, and listed on the Bloomberg Gender-Equality Index.

We respect and value diversity in our workforce and make employment decisions regardless of personal characteristics.

About The Team

Strategy and Technology defines Nokia’s future innovation, setting strategy, supporting research, and infrastructure for technological advancement.

Additional Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services, IT Consulting, Telecommunications