Skip to main content
Three people are having a conversation in a room
Technológia és Innováció

Senior Technical System Engineer (Cloud, Data & IoT)

Jelenetkezés az állásra
  • Bangalore, Karnataka, India
  • IT és digitalis megoldások

Munkakör leírás

  • Állás azonosítója: 363794

  • Publikálás dátuma: 23/10/2026



    • 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.

    This means that you will:
    • 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.



    We believe you bring:
    • 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
    This is our wish list!

    The must-haves we see for this role are:
    • Senior, hands-on experience in software and data engineering, with a track record of delivering large, complex projects.
    • Cloud architecture: Strong background in cloud architecture on GCP and/or Azure / AWS (compute, storage, networking, security, serverless, managed data services).
    • Software engineering: Full-stack experience with a strong back-end focus – designing and building APIs, services and integrations.
    • Python: Advanced Python skills for data engineering and back-end development.
    • Databricks: Hands-on experience with Databricks (PySpark, Delta Lake, workflows, Unity Catalog).
    • Data background: Solid data engineering experience – data lakes / lakehouses, data modelling, 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).

    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:
    • 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.



    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 Ingka's 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.

    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.








Jelenetkezés az állásra

Hasonló munkakörök

Lead System Engineer

Bangalore, Karnataka, India IT és digitalis megoldások Regular

Senior Systems Engineer - OpenText

Bangalore, Karnataka, India IT és digitalis megoldások Regular

Technical System Engineer (Cloud, Data & IoT)

Bangalore, Karnataka, India IT és digitalis megoldások Regular

Product Specialist - Opentext

Bangalore, Karnataka, India IT és digitalis megoldások Regular

Technical System Engineer (Cloud, Data & IoT)

Bangalore, Karnataka, India IT és digitalis megoldások Regular

Junior Systems Engineer - OpenText

Bangalore, Karnataka, India IT és digitalis megoldások Regular

Senior Systems Engineer (IWMS / Planon)

Bangalore, Karnataka, India IT és digitalis megoldások Regular