Technical System Engineer (Cloud, Data & IoT)

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Cloud Engineering · Software Engineering

In short

We are seeking a Technical System Engineer to establish the cloud, data, and IoT infrastructure for our real estate portfolio. This role involves designing and implementing scalable data platforms, developing data pipelines, and integrating smart building systems. The ideal candidate has a strong background in cloud architecture, full-stack/back-end development, and data engineering with Databricks and Python.

Responsibilities

Implement and maintain secure, scalable cloud architectures on GCP, Azure, or AWS.
Build and operate data lakes/lakehouses (Databricks, Delta Lake) for various data sources.
Develop batch and streaming data pipelines using Python/PySpark and SQL.
Integrate IoT device connectivity and smart building systems using protocols like MQTT, BACnet, and OPC UA.
Build APIs, microservices, and front-ends to expose building data and insights.
Lead technical workstreams for large, multi-site projects from design to handover.
Set up CI/CD, infrastructure as code, monitoring, and automated testing.
Enable dashboards, KPIs, and advanced analytics/ML use cases.
Follow engineering best practices within the IKEA Digital organization.

Requirements

4–7 years of experience in software, cloud, and data engineering, including large-scale projects.
Hands-on experience in software and data engineering with a track record of delivering large, complex projects.
Cloud architecture background on GCP, Azure, or AWS (compute, storage, networking, security, serverless, managed data services).
Full-stack experience with a back-end focus – designing and building APIs, services, and integrations.
Intermediate Python skills for data engineering and back-end development.
Hands-on experience with Databricks (PySpark, Delta Lake, workflows, Unity Catalog).
Good data engineering experience – data lakes/lakehouses, ETL/ELT, streaming, and time-series data.
Experience with IoT platforms and smart building systems, including device data ingestion and building protocols.
Experience with CI/CD, Git, containers (Docker/Kubernetes), and infrastructure as code (e.g., Terraform).

Desired Qualifications

Experience in real estate, facility management or retail environments with many sites.
Experience integrating with IWMS/CAFM systems such as Planon.
Digital twin or BIM-based platforms.
Machine learning/MLOps (MLflow) for energy optimisation and predictive maintenance.
Energy management, ESG and sustainability reporting.
BI tools such as Power BI, Looker or Tableau.

Benefits

Cloud certifications such as Google Professional Cloud Architect, Azure Solutions Architect Expert or AWS Solutions Architect – Professional are a plus.
Databricks certifications (e.g., Data Engineer Professional) are a plus.

Skills

GCPAzureAWSDatabricksDelta LakeUnity CatalogPythonPySparkSQLMQTTBACnetOPC UARESTGraphQLmicroservicesevent-driven architectureReactAngularVueKafkaPub/SubCI/CDGitHub ActionsAzure DevOpsGitLabDockerKubernetesTerraformIAMnetwork securitysecrets managementdata governanceGDPRPlanonBIMMLflowPower BILookerTableau

#Cloud#Data#IoT#Real Estate#Smart Buildings#GCP#Azure#AWS#Databricks#Python#PySpark#SQL#MQTT#BACnet#OPC UA#APIs#Microservices#CI/CD#Docker#Kubernetes#Terraform#DevOps#Data Engineering#Full-Stack

About IKEA

The IKEA vision is to create a better everyday life for the many people. Our business idea is to offer well-designed, functional and affordable, high-quality home furnishing, produced with care for people and the environment. The IKEA Brand unites more than 200.000 co-workers and hundreds of companies with different owners all over the world. It’s one brand, but it reaches millions of hearts and homes. Our value chain is unique. It includes everything from product development, design, supply, manufacture and sales – and of course it begins and ends with our customers. The IKEA retail business…

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