
Known for its design, research and development, and manufacturing activities in the automotive industry and is one of the largest automotive suppli...
Technical Lead - Advanced Analytics & MLOps (m/f/d)
必备技能
Python
Git
Azure
Req ID 83217 | Barcelona, Spain, ZF Services España, S.L.U.
At ZF, we are not just building analytics; we are redefining how they are built. We are looking for a Technical Lead to drive the engineering standards for our Global Advanced Analytics function.
In this role, you will be the technical anchor for our agile Squads, working side-by-side with Data Scientists and Business Product Owners to architect scalable solutions. You will not only oversee what we build but revolutionize how we build it. You will champion an AI-first development culture, leveraging state-of-the-art Generative AI tools (e.g., Gemini, Copilot) to accelerate coding, automate testing, and push our "ways of working" to market-leading standards.
You will lead a core technical team of 2–4 engineers (with plans to grow) while acting as the primary solution architect within our cross-functional squads.
What you could expect as Technical Lead for Advanced Analytics & MLOps:
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Act as the Technical Lead within cross-functional Squads. You will partner with Product Owners, our AI lead and Business Translators to turn business needs into robust technical designs.
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Define the architecture, approach, and data flow for new solutions before a single line of code is written, ensuring feasibility and scalability.
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"Own" the production pipeline. You are responsible for ensuring that the experimental models built by the squads are successfully refactored, hardened, and deployed into production.
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Champion the use of Generative AI tools to supercharge the team's velocity. You will establish workflows where AI is used for code generation, unit test creation, documentation, and refactoring.
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Enforce a "Clean Code" culture using Python. You will set the standards for Object-Oriented Programming (OOP), modular design, and library management.
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Constantly evaluate new libraries, AI assistants, and DevTools to ensure our tech stack remains on the bleeding edge of the industry.
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Directly lead, mentor, and grow a team of 2-4 Data Engineers/DevOps specialists.
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Oversee the design and maintenance of CI/CD pipelines, git workflows, and automated testing frameworks.
What we expect from you as an Internal Advanced Analytics Business Consultant:
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10+ years of experience in Data Engineering, Software Engineering, Data Science or MLOps.
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You don't just know about AI; you use it daily to write better code faster. You are excited to teach a team how to leverage AI for 10x productivity.
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This is a role for a "Fixer" and a "Builder." You will have a tangible impact on how ZF operates globally.
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Exposure to the highest levels of business and technology strategy.
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Expert proficiency in Python (OOP, library building, package management) and data science, writing fast efficient and effective code.
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Deep hands-on experience with Databricks and Azure architecture.
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Strong background in MLops, CI/CD, containerization, and agile software delivery.
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Experience leading or mentoring technical talent. You know how to conduct a code review that inspires rather than criticizes.
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Fluency in English, Spanish a plus.
Why you should choose ZF in Barcelona:
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You will sit at the right hand of the Head of Advanced Analytics, shaping the department's reputation and trajectory.
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A mandate to use the latest Generative AI tools to modernize how software is built.
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A leadership role with a clear path to expand your team and influence.
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You will be the architect behind the solutions that drive ZF’s data transformation.
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Be part of our ZF team as Technical Lead
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Advanced Analytics & MLOps (m/f/d) and apply now!
Contact
Steffi Lange
+49 211 584 2182
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关于ZF Friedrichshafen

ZF Friedrichshafen
PublicZF Friedrichshafen AG, also known as ZF Group, originally Zahnradfabrik Friedrichshafen, and commonly abbreviated to ZF, is a German technology manufacturing company that supplies systems for passenger cars, commercial vehicles and industrial technology.
10,001+
员工数
Friedrichshafen
总部位置
评价
10条评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.3
职业发展
3.5
管理层
3.7
72%
推荐率
优点
Supportive management and great team culture
Excellent health benefits and retirement plans
Flexible working hours and remote work options
缺点
Heavy workload and frequent overtime
High-pressure and stressful environment
Limited growth opportunities
面试评价
64条评价
难度
3.5
/ 5
时长
14-28周
录用率
38%
体验
正面 68%
中性 16%
负面 16%
面试流程
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
常见问题
Tell me about a challenging project
System design question
Coding problem
Why this company
最新动态
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3w ago
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News
·
7w ago
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·
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