Technical System Engineer (Cloud, Data & IoT) at IKEA

Job Summary

We are looking for a hands-on Technical System Engineer to design and build the cloud, data and IoT foundation for our real estate portfolio. You will connect smart building systems, IoT devices and business systems into a scalable data platform that powers insights on energy, occupancy, maintenance and building performance.

This is a technical role for someone who has delivered large projects end to end, combines a cloud architecture background with full-stack / back-end development, and is strong in data engineering with Databricks and Python.

As a Technical Systems Engineer in the Group Real Estate, you will be at the heart of a foundational transformation in IWMS.

You will work in Group Function Digital Area. The Digital Area Group Functions is a new area built to strengthen digital partnership and delivery across all Group Functions and Global Business Operations (GBO). We develop and deliver digital capabilities across key areas like Finance, People Culture, Procurement, Legal, Business Risk Compliance, Communications, Real Estate, Business Steering in Ingkas global organisation.

You will be part of a team that is leading the foundational transformation in HR Tech with a clear vision: to bring trustworthy data to business leaders so they can make informed decisions. We sit at the intersection of HR, data, and technology, and we believe that getting the foundation right is what makes everything else possible.

Responsibilities

• Cloud architecture: implement and maintain secure, scalable cloud architectures for real estate and smart building solutions on GCP, Azure or AWS.
• Data platform: Build and operate the data lake / lakehouse (e.g. Databricks, Delta Lake) for building, IoT, IWMS and business data, including ingestion, modelling and governance.
• Data pipelines: Develop batch and streaming pipelines in Python / PySpark and SQL for time-series sensor data, BMS data and system integrations.
• IoT smart buildings: integrate IoT device connectivity and smart building systems (BMS, energy meters, occupancy and environmental sensors) using protocols such as MQTT, BACnet and OPC UA.
• Back-end full-stack development: Build APIs, microservices and, where needed, web front-ends that expose building data and insights to users and other systems (including the IWMS / Planon).
• Large projects: Lead the technical workstream on large, multi-site projects from solution design and estimation through build, rollout and handover to operations.
• DevOps quality: Set up CI/CD, infrastructure as code, monitoring and automated testing; ensure security, reliability and cost efficiency.
• Analytics AI enablement: Enable dashboards, KPIs and advanced analytics/ML use cases such as energy optimisation, predictive maintenance and space utilisation.
• Follow engineering best practice specified within Ikea Digital organisation

Requirements

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

Nice to have

• Real estate / retail: 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.

Education and certifications

• Bachelors or Masters degree in Computer Science, Software Engineering, Data Science or equivalent experience.
• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.