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AVEVA is creating software trusted by over 90% of leading industrial companies. 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, daytoday priorities will be guided by the Data Science and AI team with a focus on establishing reliable, productiongrade 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 dependableimproving environments, hardening pipelines, automating deployments, and resolving operational issues quickly. It is highly deliveryoriented 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 clear 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-as-code and CI/CD practices for Databricks and related Azure resources (e.g., Terraform/Bicep, Azure DevOps/GitHub). Security & access: Implement least-privilege access, secrets management, identity integration, auditability, and compliance-aligned controls (in partnership with Security / Governance). Observability & operations: Improve logging, monitoring, and cost controls; diagnose and resolve platform/network issues affecting delivery. Embedded delivery support: Participate in Madrid-based team stand-ups and planning; manage an agreed backlog of tasks that unblock AI for ALL and analytics delivery. Essential requirements Azure & Databricks expertise: Strong hands-on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues. Engineering discipline: Comfortable with automation, CI/CD, IaC, and operational best practices. Data platform fundamentals: Working knowledge of Spark, Delta Lake, Python and SQL; ability to partner effectively with data engineers, AI engineers and data scientists. Operational mindset: Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams. Stakeholder collaboration: Works effectively across time zones and teams; able to translate requirements into actionable platform work. 5+ years experience in cloud/platform engineering (preferably Azure) 2+ years hands-on experience with Databricks (Azure Databricks strongly preferred). Candidates who do not meet the required years of experience may still be considered if they possess the following certifications: AZ-900 (Azure Fundamentals) AZ-305 (Designing Azure Infra Solutions) AZ-104, AZ-400 (DevOps Focused) and/or AI-102 (AI) will be advantageous Experience with networking/security patterns in Azure (VNETs, private endpoints, Key Vault, managed identities, etc.). Experience with IaC (Terraform, ARM/Bicep) and CI/CD for platform and data workloads. Desired skills Familiarity with AWS/GCP concepts Experience with Unity Catalog Experience supporting data governance patterns and lineage/metadata tooling Familiarity with GenAI workload considerations. IT at AVEVA Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally. We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectives in our solutions for our business functions. The energy and sense of purpose is evident when talking to team members, you will feel .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.