IT engineer Data & Analytics DevOps

Continental; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Training opportunities

Mobile and flexible working models

Sabbaticals

Job summary

Continental is looking for a skilled Cloud Platform Engineer in Bengaluru, India, responsible for operating and optimizing Azure services and Databricks for a robust data and analytics platform. The role involves managing CI/CD pipelines, administering Power BI services, and ensuring hybrid data integration. Qualified candidates should have a Bachelor’s degree and 5+ years of experience in cloud engineering. Benefits include training opportunities and flexible working models.

Qualifications

• Minimum 5 years in cloud platform engineering, DevOps, or SRE roles within data or analytics platforms.
• Hands‑on experience with Spark (Databricks), PySpark, and CI/CD for JVM-based data applications.
• Experience in managing Power BI service in enterprise setups, including hybrid gateway environments.

Responsibilities

• Operate and optimize Azure resources and Databricks workspace access.
• Administer CI/CD pipelines for Scala and PySpark-based pipelines.
• Monitor Spark job execution, analyze failures, and enforce platform policies.

Skills

Cloud platform engineering

DevOps practices

Spark (Databricks)

PySpark

CI/CD pipelines

Azure services

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems

Tools

Azure DevOps

Power BI

Terraform/Bicep

Job description

Job Description

• Ensure stable, scalable, and secure operation of the Azure-based Data & Analytics platform, including Databricks, Azure-native components, Power BI, and CI/CD infrastructure
• Offload operational workload from platform architects by taking ownership of infrastructure, deployment automation, and pipeline reliability
• Enable smooth execution and troubleshooting of data pipelines written in Scala and PySpark, including hybrid integration scenarios such as Power BI with gateway infrastructure

• Reports to: Head of Data & Analytics IT Competence Center
• Collaborates with: Platform Architects, Data Engineers, ML Engineers, Power BI Developers
• Geography: Global (stakeholders in Germany, India, Manila)
• Operational Scope: Azure services, Databricks workspaces, CI/CD toolchains, Power BI service (incl. gateways), and Spark-based data pipelines

Main Tasks

• Operate and optimize Azure resources (ADF, Key Vault, Monitor, Event Hub)
• Administer Databricks workspace access and cluster configs
• Apply Infrastructure-as-Code (Terraform/Bicep)

• Manage CI/CD pipelines for Scala and PySpark-based pipelines
• Integrate build steps (e.g., Maven/SBT, Python wheels) into automated deployments
• Enforce DevSecOps and IaC standards

• Monitor Spark job execution, analyze failures and stage-level issues using Spark UI and logs
• Configure alerts, metrics, and dashboards for pipelines and infrastructure
• Lead post-incident reviews and reliability improvements

• Administer Power BI tenant configuration, workspace access, and usage monitoring
• Operate and monitor on-premises or VM-hosted enterprise gateways
• Troubleshoot dataset refreshes and hybrid data integration

• Support runtime execution of production pipelines and ensure SLA adherence
• Collaborate with engineers to resolve Spark performance issues or deployment errors
• Participate in schema evolution and environment transitions

• Enforce platform policies (tagging, RBAC, audit logging)
• Maintain credential and secrets security using Key Vault and managed identity
• Conduct audits across Azure, Databricks, and Power BI environments

Additional Information

The well-being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:

• Training opportunities
• Mobile and flexible working models
• Sabbaticals

and much more...

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Qualifications

• Education / Certification:
  Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
  Preferred: Azure DevOps Engineer Expert, Power BI Admin, or Databricks Admin certifications
• Professional Experience:
  Minimum 5 years in cloud platform engineering, DevOps, or SRE roles within data or analytics platforms
  Hands‑on experience with Spark (Databricks), PySpark, and CI/CD for JVM-based data applications
• Project or Process Experience:
  Proven ability to deploy and operate complex data pipeline ecosystems using Scala and PySpark
  Experience in managing Power BI service in enterprise setups, including hybrid gateway environments
• Leadership Experience:
  No formal people leadership required; expected to lead through technical authority and cross-team collaboration
• Intercultural / International Experience:
  Experience working in distributed teams across time zones and cultures; strong communication skills and resilience