Fuelling tomorrow – that is our vision. The mobility of the future needs innovative solutions. The mobility of the future needs people who can make things happen. The future of mobility needs: you.
Let’s shape the future of the energy industry together!
For our central Data & Analytics Team at our location in Hamburg HafenCity we are looking for a
Lead DevOps Engineer – Data Platform (m/f/d)
Your benefits:
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Work-life balance: 38.75 working hours per week with 30 days annual leave
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Ability to work freely: flexible working hours and individual remote work arrangement
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Suitable for families: subsidized vacation camps for children, nanny support, etc.
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Security and provisions: accident insurance also covering private accidents; excellent employer’s contribution to your company pension scheme. Lifetime Account with opportunities to save for sabbaticals or early retirement
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Health: healthy, subsidized meals in our employee restaurant, access to the free gym with sports offers, online sports courses, support in the event of personal problems, and free use of the Headspace app
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Learning & Development: we support you on your individual career path
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Networking: networks within the company to spotlight all diversity aspects within the company, as well as participate in various company events
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Other benefits: Profit participation, Christmas bonus, vacation allowance, travel allowance, etc.
Your purpose:
As the Lead DevOps Engineer (m/f/d) for our Azure Cloud Data Platform, your primary goal is to secure, operate, innovate and optimize our data infrastructure within Azure’s ecosystem. You are responsible for implementing best DevOps practices, including automating data workflows, managing cloud resources efficiently, and ensuring our platform’s security and scalability. Your role involves deploying CI/CD pipelines, adopting infrastructure as code (IaC), and utilizing monitoring solutions to create a highly resilient, efficient, and scalable data platform. Through your technical expertise and focus on DevOps principles, you will play a crucial role in enhancing our data processing capabilities and supporting sophisticated data analytics and applications, driving operational excellence in the Azure cloud environment.
Key Responsibilities in this role:
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Technical Guidance and Best Practices: Provide technical leadership and guidance to a team of devops engineers, ensuring adherence to best practices in devops, cloud computing, and infrastructure security.
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DevOps Practices Implementation: Implement and refine DevOps methodologies to enhance the development lifecycle, focusing on automation, CI/CD of data pipelines and infrastructure.
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Security and Compliance: Enforce security best practices and compliance standards to protect data integrity and privacy, aligning with organizational and regulatory requirements.
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Disaster Recovery and High Availability: Design and implement disaster recovery and high availability strategies to ensure data resilience and minimal downtime.
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Infrastructure as Code (IaC): Utilize IaC tools such as Bicep or Azure Resource Manager templates to manage and provision cloud infrastructure in a consistent and repeatable manner.
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Cloud Resource Management: Optimize the use of Azure cloud resources to ensure cost-effectiveness, scalability, and high availability of the data platform.
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CI/CD Pipeline Deployment: Develop and maintain CI/CD pipelines for seamless and automated build, test, and deployment processes, ensuring rapid and reliable delivery of data services.
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Monitoring and Logging: Implement comprehensive monitoring and logging solutions to proactively identify and address system issues, ensuring the reliability and performance of the data platform
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Collaboration: Work closely with data engineers, data scientists, and IT teams to ensure DevOps practices are integrated throughout the data platform strategy.
What helps you to fulfill this role:
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A bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related field
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5+ years proven experience in (lateral) leading DevOps teams and developing data platforms
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Azure Expertise: Extensive experience with Azure cloud services and data platform technologies as Databricks, Logic Apps, Azure Data Factory.
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CI/CD Mastery: Proficiency in CI/CD tools (e.g., Jenkins, Azure DevOps) and automation scripting (e.g., PowerShell, Python).
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Containerization & Orchestration: Knowledge in Docker, Kubernetes, and Azure Kubernetes Service (AKS).
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Infrastructure as Code: Experience with Bicep, ARM templates, and Terraform.
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Monitoring & Logging: Familiarity with tools like Azure Monitor and ELK stack.
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Communication Skills: Effective communication and collaboration abilities.
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Advanced Technologies: Experience with MLOps and big data technologies.
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Compliance Knowledge: Familiarity with data governance and regulatory compliance (e.g., GDPR).
Your Contact:
Please send us your application documents, stating your salary expectations and your earliest starting date, using the application form on our website.
Simone Gilau (e-mail:
re********@ma******.com
) will be happy to answer any questions you may have.
