Technical System Engineer (Cloud, Data & IoT)
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Cloud Engineering · Software Engineering
In short
Responsibilities
- Implement and maintain secure, scalable cloud architectures for real estate and smart building solutions on GCP, Azure or AWS.
- Build and operate the data lake / lakehouse (e.g. Databricks, Delta Lake) for building, IoT, IWMS and business data, including ingestion, modelling and governance.
- Develop batch and streaming pipelines in Python / PySpark and SQL for time-series sensor data, BMS data and system integrations.
- Integrate IoT device connectivity and smart building systems (BMS, energy meters, occupancy and environmental sensors) using protocols such as MQTT, BACnet and OPC UA.
- Build APIs, microservices and, where needed, web front-ends that expose building data and insights to users and other systems (including the IWMS / Planon).
- Lead the technical workstream on large, multi-site projects – from solution design and estimation through build, rollout and handover to operations.
- Set up CI/CD, infrastructure as code, monitoring and automated testing; ensure security, reliability and cost efficiency.
- 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).
Desired Qualifications
- 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.
Benefits
- Bachelor's or Master's 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.
Skills
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…
Company
IKEAJob Posted
1 day ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Mid-Senior
Locations
Bangalore, India
Qualification
Applicants
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