Senior Technical System Engineer (Cloud, Data & IoT)

Technology, Data & Digital · IT Infrastructure & Security · Cloud Engineering · Data Engineering · Software Engineering

In short

Vi søger en erfaren teknisk systemingeniør til at designe og bygge cloud-, data- og IoT-fundamentet for en ejendomsportefølje. Rollen indebærer at forbinde smarte bygningssystemer, IoT-enheder og forretningssystemer til en skalerbar dataplatform for at drive indsigt i energi, belægning, vedligeholdelse og bygningsydelse. Du vil være ansvarlig for cloud-arkitektur, dataplatform, dataledninger, IoT-integration, back-end/full-stack-udvikling, DevOps og teknisk lederskab.

Responsibilities

Design and implement secure, scalable cloud architectures for real estate and smart building solutions on GCP, Azure or AWS.
Build and operate the data lake / lakehouse 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.
Architect and integrate IoT device connectivity and smart building systems 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.
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.
Define standards, review code and designs, mentor engineers and work closely with architects, vendors and business stakeholders.

Requirements

7+ years in software, cloud and data engineering, including large-scale projects
Expert level Databricks, Delta Lake, Unity Catalog, data lake / lakehouse architecture
Expert level Python, PySpark, SQL; plus a back-end language such as Java, Go or Node.js
Advanced REST / GraphQL APIs, microservices, event-driven architecture; React / Angular / Vue
Advanced batch & streaming pipelines, Kafka / Pub/Sub, time-series data, data modelling, data quality
Advanced MQTT, IoT gateways, edge computing, BMS integration (BACnet, Modbus, OPC UA), digital twin concepts
Advanced CI/CD (GitHub Actions, Azure DevOps, GitLab), Docker, Kubernetes, Terraform
Advanced IAM, network security, secrets management, data governance, GDPR
Senior, hands-on experience in software and data engineering, with a track record of delivering large, complex projects.
Strong background in cloud architecture on GCP and/or Azure / AWS (compute, storage, networking, security, serverless, managed data services).
Full-stack experience with a strong back-end focus – designing and building APIs, services and integrations.
Advanced Python skills for data engineering and back-end development.
Hands-on experience with Databricks (PySpark, Delta Lake, workflows, Unity Catalog).
Solid data engineering experience – data lakes / lakehouses, data modelling, 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

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.
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.

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.
We believe that getting the foundation right is what makes everything else possible.
We are a team that believes in: IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing, and we need to adapt to stay competitive. We see so many opportunities for what we can accomplish and have the ambition to be a world-class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.

Skills

DatabricksPythonPySparkSQLGCPAzureAWSMQTTBACnetOPC UARESTGraphQLmicroservicesReactAngularVueKafkaPub/SubCI/CDGitHub ActionsAzure DevOpsGitLabDockerKubernetesTerraformIAMGDPRPlanonMLflowPower BILookerTableau

#Cloud#Data#IoT#Real Estate#Smart Buildings#GCP#Azure#AWS#Databricks#Python#PySpark#DevOps#CI/CD#API

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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