At a Glance
- Tasks: Lead the operational setup of a new data centre and ensure efficient day-to-day operations.
- Company: Global tech organisation focused on innovation, safety, and sustainability.
- Benefits: Competitive salary, inclusive culture, and opportunity for career growth.
- Other info: Join a collaborative team and thrive in a dynamic environment.
- Why this job: Make a real impact by leading a data centre from construction to operation.
- Qualifications: Experience in service management or operations, ideally in data centres or logistics.
The predicted salary is between 60000 - 80000 £ per year.
Our CompanyEOS is a global technology organisation committed to delivering reliable, scalable infrastructure that enables innovation and growth. We operate across multiple regions, supporting mission‑critical environments with a strong focus on operational excellence, safety, and sustainability.
We are seeking an experienced and highly motivated Service Manager to lead the operational delivery of a new data centre in Austria, supporting the site from construction and commissioning through to full operational maturity. This is a long‑term role responsible for establishing and embedding operational best practice during the build and ramp‑up phase, and for leading high‑performing, resilient operations once the facility is live. The successful candidate will be based in Austria and bring strong experience within data centre, logistics, or other critical infrastructure environments, ideally with exposure to sites during construction, commissioning, or early‑stage operations.
Key Responsibilities- Lead the operational setup of the data centre during construction and commissioning, ensuring readiness for go‑live.
- Transition the site into stable, efficient, and compliant day‑to‑day operations.
- Develop, implement, and continuously improve service delivery processes, procedures, and standards.
- Partner with construction, engineering, and external vendors to ensure operational requirements are embedded early.
- Build and lead on‑site service capability, including workforce planning, onboarding, training, and performance management.
- Ensure compliance with all health, safety, and regulatory requirements across both construction and operational phases.
- Manage vendor relationships, contracts, and service performance to support ongoing operations.
- Oversee inventory, materials flow, and operational logistics to support data centre activities.
- Support maintenance planning and the reliability of critical infrastructure systems, including power, cooling, and network environments.
- Act as the primary on‑site lead for service delivery, driving accountability, performance, and continuous improvement.
- Identify risks and implement mitigation strategies across both transition and steady‑state operations.
- Proven experience in a Service Manager, Operations Manager, or similar role.
- Background in data centre operations, logistics, supply chain, or other highly structured operational environments.
- Experience supporting environments through construction, commissioning, ramp‑up, and ongoing operations.
- Strong understanding of service delivery, vendor coordination, and operational processes.
- Experience managing inventory, warehousing, or material flow in complex environments is highly desirable.
- Demonstrated ability to build and scale operational service functions.
- Strong stakeholder management skills across internal teams, contractors, and third‑party providers.
- Knowledge of Austrian and/or EU health, safety, and regulatory standards.
- Strong leadership, communication, and organisational skills.
- Fluent in English; German language skills are highly desirable.
This role is based in Austria with a strong on‑site presence required. Candidates must have the right to work in Austria.
What We Offer- A unique opportunity to lead a data centre from construction through to long‑term operation.
- Visibility and impact within a growing, global technology organisation.
- A collaborative and high‑performing team environment.
- Competitive salary and benefits aligned with the Austrian market.
EOS is an equal opportunity employer. We are committed to creating an inclusive environment where everyone feels valued, respected, and empowered to contribute. We welcome applications from all backgrounds and encourage candidates to bring their authentic selves to work.
Data Centre Service Manager employer: EOS
At EOS, we pride ourselves on being an exceptional employer, offering a unique opportunity to lead the operational delivery of a cutting-edge data centre in Austria. Our collaborative and high-performing team environment fosters professional growth, while our commitment to operational excellence, safety, and sustainability ensures that every employee feels valued and empowered. With competitive salaries and benefits tailored to the Austrian market, joining EOS means becoming part of a global technology organisation where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data Centre Service Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EOS!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Centre Service Manager at EOS.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EOS.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Centre Service Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EOS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EOS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EOS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EOS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
