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

Job Summary

We are looking for a senior, 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 Senior Systems Engineer in the Group Real Estate, you will be at the heart of a foundational transformation in IWMS.

Responsibilities

• Cloud architecture: Design and implement 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: Architect and 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.
• Technical leadership: Define standards, review code and designs, mentor engineers and work closely with architects, vendors and business stakeholders.

Requirements

• 7+ years (recommended) in software, cloud and data engineering, including large-scale projects
• Data platform Expert level: Databricks, Delta Lake, Unity Catalog, data lake / lakehouse architecture
• Programming - Expert level: Python, PySpark, SQL; plus a back-end language such as Java, Go or Node.js
• Back-end / full-stack - Advanced: REST / GraphQL APIs, microservices, event-driven architecture; React / Angular / Vue
• Data engineering - Advanced: Batch streaming pipelines, Kafka / Pub/Sub, time-series data, data modelling, data quality
• IoT smart buildings - Advanced: MQTT, IoT gateways, edge computing, BMS integration (BACnet, Modbus, OPC UA), digital twin concepts
• DevOps - Advanced: CI/CD (GitHub Actions, Azure DevOps, GitLab), Docker, Kubernetes, Terraform
• Security governance - Advanced: 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.

Personal Competencies

• Hands-on technical leader who still writes code and builds solutions.
• Strong architectural thinking, balancing long-term design with pragmatic delivery.
• Clear communicator who can explain complex technology to business stakeholders.
• Drives large initiatives with ownership, structure and focus on outcomes.
• Curious and forward-looking mindset, with a willingness to explore and learn new technologies, identify their potential, and uncover business value through AI including opportunities to develop and work with agentic AI solutions
• Mentors and raises the technical level of the team.
• Fluent in English, written and spoken.

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.