IT engineer Data & Analytics DevOps

• Job Description

  ▪ Design, build, and operate a stable, scalable, and secure data platform infrastructure on Azure, including Databricks, CI/CD systems, and Power BI integration.

  ▪ Take ownership of platform infrastructure, deployment automation, and reliability engineering by reducing manual operations through automation and engineering solutions.

  ▪ Enable and continuously improve the reliable execution of data pipelines by implementing observability, monitoring, and automated recovery mechanisms.

  ▪ Build and evolve Infrastructure-as-Code-based platform provisioning and configuration management.

  ▪ Collaborate with software engineers, ML engineers, and architects to ensure platform capabilities align with development and architectural standards.

  Main Tasks

  Platform Engineering & Infrastructure

  ▪ Design, build, and operate Azure-based platform infrastructure using Infrastructure-as-Code (Terraform).

  ▪ Automate provisioning, configuration, and scaling of platform components (AKS, Key Vault, Monitor, Storage).

  ▪ Automate and manage Databricks workspace configuration, access control, and cluster policies.

  ▪ Define and enforce platform standards for cluster usage, performance, and cost optimization.

  CI/CD & Automation

  ▪ Design and implement CI/CD pipelines for Scala-based data applications.

  ▪ Automate build, packaging, and deployment processes (e.g., SBT, github enterprise).

  ▪ Enforce DevSecOps practices, including secure pipeline design and infrastructure governance.

  Reliability Engineering & Observability

  ▪ Implement observability for data pipelines and platform components (logging, metrics, alerting), using grafana.

  ▪ Diagnose failures and implement long-term reliability improvements, including root cause analysis and post-incident remediation.

  ▪ Define and implement reliability engineering practices, including SLIs/SLOs, incident response, and automated recovery mechanisms.

  ▪ Monitor Spark workloads using logs, metrics, and performance diagnostics.

  Data Platform Enablement

  ▪ Enable reliable runtime execution of production data pipelines and ensure SLA adherence.

  ▪ Collaborate with engineers to resolve performance bottlenecks and deployment issues.

  ▪ Support environment transitions, and platform lifecycle processes.

  Power BI Platform Integration

  ▪ Engineer and automate Power BI service configuration, workspace management, and monitoring.

  ▪ Design and operate enterprise gateway infrastructure for hybrid data integration scenarios.

  ▪ Troubleshoot and continuously improve reliability of dataset refresh and hybrid integration pipelines.

  Governance & Security

  ▪ Implement and enforce platform governance standards (RBAC, tagging, audit logging).

  ▪ Design secure secrets and credential management using Azure Key Vault, managed identities, and federated identity credentials.

  ▪ Automate compliance checks and support platform audits across Azure, Databricks, and Power BI environments.

  Platform Optimization

  ▪ Optimize resource utilization, scalability, and cost-efficiency across platform components.

  ▪ Provide transparency into platform usage, cost drivers, and optimization opportunities.

• Qualifications

  ▪ Degree in Computer Science, Engineering, Information Systems, or a related field.

  ▪ Minimum 5 years of experience in platform engineering, DevOps, or SRE roles, with a strong focus on automation and infrastructure engineering.

  ▪ Strong hands-on experience with cloud platforms (Azure preferred), Infrastructure-as-Code (Terraform/Bicep), and CI/CD pipelines.

  ▪ Experience designing and operating production-grade data platforms and pipeline ecosystems (Scala / Spark environments).

  ▪ Strong understanding of distributed systems, reliability engineering, and observability practices.

  ▪ Experience with Databricks platform operations and Spark workload optimization.

  ▪ Experience integrating build and deployment pipelines (e.g., SBT, github enterprise).

  ▪ Experience with Power BI service administration and enterprise gateway architectures is a plus.

  ▪ Strong focus on automation-first approaches with minimal reliance on manual operations.

  ▪ Ability to work across global teams and collaborate with engineers, architects, and business stakeholders.

  NOT a Fit If Your Experience Is Primarily

  ▪ Manual system or platform administration without automation or Infrastructure-as-Code

  ▪ Ticket-based operations or L2/L3 support roles

  ▪ BI/reporting-focused roles or Power BI-only administration

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...

Sounds interesting for you? Click here to find out 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.

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