Real-Time Data Engineer - IoT & Energy Platforms

KadAgency Global AB; Lunds kommun; In loco; SEK 800.000 - 1.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Energy transition focus

Hands-on data engineering

Collaborative engineering culture

Descrizione del lavoro

KadAgency Global AB in Lund, Sweden, is seeking a Data Engineer to develop and enhance the data infrastructure behind the RE:Flex platform. You will work with real-time IoT data, cloud resources and modern databases to ensure reliable collection, processing and delivery of data.

You will collaborate with backend, DevOps and ML teams, contribute to code quality, documentation and platform reliability, and help build scalable pipelines using Python, SQL and cloud services.

Competenze

• 5+ years of professional data engineering or backend development experience.
• Strong Python programming and SQL skills.
• Experience with data pipelines, APIs and cloud services.
• Experience with Docker and Kubernetes.
• Proficient English communication.

Mansioni

• Develop and maintain data ingestion and processing pipelines.
• Build real-time and batch data flows using MQTT and cloud services.
• Develop backend APIs and data services for the platform.
• Ensure data quality with validation, monitoring and backfill.
• Collaborate with DevOps, ML engineers and business teams.

Conoscenze

Python

SQL

English

APIs

Data Engineering

Formazione

Bachelor's degree in Computer Science / Software Engineering / Data Engineering

Strumenti

Docker

Kubernetes

Google Cloud Platform

TimescaleDB

PostgreSQL

MongoDB

MQTT

Descrizione del lavoro

KadAgency Global AB in Lund, Sweden, is seeking a Data Engineer to develop and enhance the data infrastructure behind the RE:Flex platform. You will work with real-time IoT data, cloud resources and modern databases to ensure reliable collection, processing and delivery of data.

You will collaborate with backend, DevOps and ML teams, contribute to code quality, documentation and platform reliability, and help build scalable pipelines using Python, SQL and cloud services.