Senior Manager Data & Cloud Engineering

📋 Job Overview

We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany.

🏢 About Eraneos

Eraneos is a technical, implementation-oriented spin-off of a global management consultancy focused on analytics, big data, and machine learning. We help transform clients into AI-powered companies through individual and data-driven solutions.

🎯 The Role

As a Senior Manager Data & Cloud Engineering, you are more than an architect or project manager. You are a trusted advisor to decision-makers, connecting business, architecture, and engineering to deliver solutions that combine technological excellence with sustainable business value. You bring together strategic thinking, technical expertise, and an entrepreneurial mindset while supporting our clients from the initial idea through successful implementation.

✅ Key Responsibilities

• You design and implement modern data and cloud platforms that serve as the foundation for analytics, AI, and data-driven business processes.
• You develop scalable data architectures for batch, streaming, and real-time workloads on leading cloud platforms.
• You establish best practices for Cloud Engineering, Infrastructure as Code, automation, security, and DataOps.
• You evaluate emerging technologies and transform innovations into scalable production systems and services.
• You analyse complex business requirements and translate them into scalable cloud and data architectures.
• You bring together management, business departments, and engineering teams to create a shared understanding of the solution.
• You support clients in modernising their data landscape and migrating to modern cloud environments.
• You are responsible for the successful delivery of complex Data and Cloud Engineering projects from a technical, commercial, and organisational perspective.
• You take overall responsibility for project delivery and governance, ensuring that scope, quality, budget, and timelines consistently meet client expectations.
• You lead interdisciplinary teams of Data-, Cloud-, and Software Engineers.
• You guide clients from architecture and design through implementation to the successful operation of their platforms.
• You build trusted, long-term client relationships and strategically develop existing accounts.
• You identify new business opportunities and contribute to proposals, client workshops, and pitches.
• You coach Consultants and Engineers and support their professional and personal development.
• You bring market insights into our portfolio and actively contribute to the further development of our Data & Cloud Engineering practice.

📌 Required Qualifications

• You have several years of experience in consulting or leading complex Data, Cloud, or platform transformation projects.
• You bring strong expertise in Data Engineering, Cloud Engineering, or the development of modern data platforms.
• You have excellent knowledge of leading cloud platforms (AWS, Microsoft Azure, or Google Cloud) as well as modern Data Warehouses, Data Lakehouses, and big data technologies.
• You have hands-on experience with Python, SQL, modern data integration frameworks, ETL/ELT pipelines, and workflow orchestration tools such as Apache Airflow, Dagster, or Prefect.
• You are familiar with Infrastructure as Code, container technologies, Kubernetes, and modern DevOps and Data Ops practices.
• You understand how to translate business requirements into scalable cloud and data architectures.
• You have experience leading interdisciplinary teams and communicating effectively with stakeholders at management and C-level.
• You have an entrepreneurial mindset, enjoy developing client relationships, and actively contribute to business development.
• You hold a degree in Computer Science, Business Informatics, or a comparable field and have excellent communication skills in both German and English.

🎁 Benefits

• Shape the future with AI by working on diverse and impactful projects at the intersection of strategy, technology, and business.
• Work flexibly in a way that suits your life – with hybrid working models, flexible working hours, and the option to work from home.
• Enjoy an open, collaborative culture with flat hierarchies, an international team, and colleagues who are always willing to share their knowledge and support one another.
• A Great Place to Grow: Benefit from tailored learning opportunities, individualized career paths, and dedicated support for your professional and personal development.
• Be part of a strong international network of more than 1,300 colleagues and enjoy regular cross-office and international company events.
• Maintain a healthy work-life balance with flexible working models and, where appropriate, the opportunity to take a sabbatical.
• Take advantage of our Company Bike program and a subsidized EGYM Wellpass membership to support your health and wellbeing.
• Work from modern, centrally located offices in Hamburg, Munich, and Düsseldorf, as well as flexible hub locations across Germany's major cities.
• Enjoy complimentary drinks, fresh fruit, snacks, premium coffee – and, if you like, an after-work beer with your colleagues.
• Thrive in an environment built on trust, ownership, and continuous growth, where your ideas are valued regardless of your role or level of seniority.

🛂 Visa & Eligibility

Our top priority is that you fit us and we fit you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, handicap or other aspects of diversity.