Data Engineer – Industrial IoT

Overview 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. Responsibilities 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 best practices with Big Data using Kafka, Apache Flink, Spark Streaming, or similar technologies. 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 best 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 production environments. Understanding of GIS data processing, geospatial analytics, and digital twin integrations. Experience with cybersecurity frameworks for industrial data environments. About Us 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 the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work. What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Equal Opportunity Nokia is committed to inclusion and is an equal opportunity employer. Nokia has received recognitions for its commitment to inclusion & equality. One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. About The Team Strategy and Technology lays the path for Nokia’s future technology innovation and identifies the most promising areas for Nokia to create new value. We set the company’s strategy and technology vision, offer an unparalleled research foundation for innovation, and provide critical support infrastructure for Nokia. Job Details Seniority level: Not Applicable Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting and Telecommunications Referrals increase your chances of interviewing at Nokia. We’re unlocking community knowledge in a new way. Experts add insights directly into articles, started with the help of AI. #J-18808-Ljbffr