IT Engineer Data & Analytics DevOps

Company Description

Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.

 Guided by the vision of being the customers first choice for material-driven solutions, the ContiTech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. ContiTechs industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport.

The IT Digital and Data Services Competence Center of ContiTech caters to all the Business Areas in ContiTech and responsible among other on areas of Data & Analytics, Web and Mobile Software Development and AI

The team for Data services specializes in all platforms, business applications and products in the domain of data and analytics, covering the entire spectrum including AI, machine learning, data science, data analysis, reporting and dashboarding.

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

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

• black small square Enable and continuously improve the reliable execution of data pipelines by implementing observability, monitoring, and automated recovery mechanisms.
• black small square Build and evolve Infrastructure-as-Code-based platform provisioning and configuration management.
• black small square Collaborate with software engineers, ML engineers, and architects to ensure platform capabilities align with development and architectural standards.
• Main Tasks
• Platform Engineering & Infrastructure
• black small square Design, build, and operate Azure-based platform infrastructure using Infrastructure-as-Code (Terraform).
• black small square Automate provisioning, configuration, and scaling of platform components (AKS, Key Vault, Monitor, Storage).
• black small square Automate and manage Databricks workspace configuration, access control, and cluster policies.
• black small square Define and enforce platform standards for cluster usage, performance, and cost optimization.
• CI/CD & Automation
• black small square Design and implement CI/CD pipelines for Scala-based data applications.
• black small square Automate build, packaging, and deployment processes (e.g., SBT, github enterprise).
• black small square Enforce DevSecOps practices, including secure pipeline design and infrastructure governance.
• Reliability Engineering & Observability
• black small square Implement observability for data pipelines and platform components (logging, metrics, alerting), using grafana.
• black small square Diagnose failures and implement long-term reliability improvements, including root cause analysis and post-incident remediation.
• black small square Define and implement reliability engineering practices, including SLIs/SLOs, incident response, and automated recovery mechanisms.
• black small square Monitor Spark workloads using logs, metrics, and performance diagnostics.
• Data Platform Enablement
• black small square Enable reliable runtime execution of production data pipelines and ensure SLA adherence.
• black small square Collaborate with engineers to resolve performance bottlenecks and deployment issues.
• black small square Support environment transitions, and platform lifecycle processes.
• Power BI Platform Integration
• black small square Engineer and automate Power BI service configuration, workspace management, and monitoring.
• black small square Design and operate enterprise gateway infrastructure for hybrid data integration scenarios.
• black small square Troubleshoot and continuously improve reliability of dataset refresh and hybrid integration pipelines.
• Governance & Security
• black small square Implement and enforce platform governance standards (RBAC, tagging, audit logging).
• black small square Design secure secrets and credential management using Azure Key Vault, managed identities, and federated identity credentials.
• black small square Automate compliance checks and support platform audits across Azure, Databricks, and Power BI environments.
• Platform Optimization
• black small square Optimize resource utilization, scalability, and cost-efficiency across platform components.
• black small square Provide transparency into platform usage, cost drivers, and optimization opportunities.

Qualifications

Qualifications

Qualifications

• black small square Degree in Computer Science, Engineering, Information Systems, or a related field.
• black small square Minimum 5 years of experience in platform engineering, DevOps, or SRE roles, with a strong focus on automation and infrastructure engineering.
• black small square Strong hands-on experience with cloud platforms (Azure preferred), Infrastructure-as-Code (Terraform/Bicep), and CI/CD pipelines.
• black small square Experience designing and operating production-grade data platforms and pipeline ecosystems (Scala / Spark environments).
• black small square Strong understanding of distributed systems, reliability engineering, and observability practices.
• black small square Experience with Databricks platform operations and Spark workload optimization.
• black small square Experience integrating build and deployment pipelines (e.g., SBT, github enterprise).
• black small square Experience with Power BI service administration and enterprise gateway architectures is a plus.
• black small square Strong focus on automation-first approaches with minimal reliance on manual operations.
• black small square Ability to work across global teams and collaborate with engineers, architects, and business stakeholders.
• NOT a Fit If Your Experience Is Primarily
• black small square Manual system or platform administration without automation or Infrastructure-as-Code
• black small square Ticket-based operations or L2/L3 support roles
• black small square BI/reporting-focused roles or Power BI-only administration

Additional Information

Additional information

The Well-being Of Our Employees Is Important To Us. Thats 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.
• Ready to drive with Continental Take the first step and fill in the online application.