Job Title: Cloud Engineer, Data Platforms

Location: Bangalore

Employment Type: Full Time (Hybrid role)

The job

We are looking for a handson Cloud Engineer with strong expertise in Azure Databricks to accelerate the delivery and operational reliability of AVEVAs data and AI workloads. This role is based in Madrid and is expected to work collaboratively with the local Data Science and AI team as part of normal hybrid working.

The successful candidate will begin with a short induction period within the Cloud Operations team, followed by an embed period, working directly with the Data Science AI team. During this phase, day-to-day priorities will be guided by the Data Science and AI team with a focus on establishing reliable, production-grade data pipelines, hardening platform operations, and ensuring alignment to Cloud Ops standards for security, reliability, and cost efficiency. The role will provide direct support for AI for ALL delivery priorities. After this embed period, the role will transition into the standard Cloud Operations operating model.





This role is ideal for a pragmatic engineer who thrives on making platforms dependable, improving environments, hardening pipelines, automating deployments, and resolving operational issues quickly. It is highly delivery-oriented and requires close collaboration across Cloud Ops, security/governance, and analytics teams to ensure AVEVAs data and AI capabilities run securely, efficiently, and at scale.

Key responsibilities
- Databricks platform engineering (Azure): Build, configure, and operate Databricks workspaces, clusters, policies, and supporting Azure services.
- Production readiness: Enable a explicit path to production environments, including operational processes, runbooks, incident response practices, and release readiness.
- Pipeline reliability: Support and harden ETL/ELT pipelines (e.g., Delta Lake patterns), job orchestration, and workload performance tuning.
- Automation CI/CD: Implement infrastructure-a

📌 Cloud Engineer, Data Platforms (Bengaluru)
🏢 Aveva
📍 Bengaluru