Lead DevOps Engineer - Data Platform(m/f/d)
Hamburg - Am Strandkai
Mabanaft
We are a leading independent and integrated energy company. We provide innovative energy solutions for transportation, heating and industrial needs.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:
Work-life balance: 38.75 working hours per week with 30 days annual leave
Ability to work freely: flexible working hours and individual remote work arrangement
Suitable for families: subsidized vacation camps for children, nanny support, etc.
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
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
Learning & Development: we support you on your individual career path
Networking: networks within the company to spotlight all diversity aspects within the company, as well as participate in various company events
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:
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.
DevOps Practices Implementation: Implement and refine DevOps methodologies to enhance the development lifecycle, focusing on automation, CI/CD of data pipelines and infrastructure.
Security and Compliance: Enforce security best practices and compliance standards to protect data integrity and privacy, aligning with organizational and regulatory requirements.
Disaster Recovery and High Availability: Design and implement disaster recovery and high availability strategies to ensure data resilience and minimal downtime.
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.
Cloud Resource Management: Optimize the use of Azure cloud resources to ensure cost-effectiveness, scalability, and high availability of the data platform.
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.
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
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:
A bachelor's or master's degree in Computer Science, Information Technology, Engineering, or a related field
5+ years proven experience in (lateral) leading DevOps teams and developing data platforms
Azure Expertise: Extensive experience with Azure cloud services and data platform technologies as Databricks, Logic Apps, Azure Data Factory.
CI/CD Mastery: Proficiency in CI/CD tools (e.g., Jenkins, Azure DevOps) and automation scripting (e.g., PowerShell, Python).
Containerization & Orchestration: Knowledge in Docker, Kubernetes, and Azure Kubernetes Service (AKS).
Infrastructure as Code: Experience with Bicep, ARM templates, and Terraform.
Monitoring & Logging: Familiarity with tools like Azure Monitor and ELK stack.
Communication Skills: Effective communication and collaboration abilities.
Advanced Technologies: Experience with MLOps and big data technologies.
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: recruiting@mabanaft.com) will be happy to answer any questions you may have.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Big Data CI/CD Computer Science Data Analytics Databricks Data governance Data pipelines DevOps Docker ELK Engineering Jenkins Kubernetes MLOps Pipelines Privacy Python Security Terraform
Perks/benefits: Career development Flex hours Flex vacation Health care Salary bonus Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Research Scientist jobs
- Open Junior Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open BI Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr. Data Scientist jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Product Data Analyst jobs
- Open Data Analyst II jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open Business Intelligence-related jobs
- Open Data governance-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Snowflake-related jobs