At a Glance
- Tasks: Lead a dynamic data team, solving complex technical challenges and ensuring top-notch customer support.
- Company: Join a forward-thinking company that values collaboration and innovation.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Embrace continuous learning in a fast-paced, supportive environment.
- Why this job: Take your engineering skills to the next level while leading a high-performing team.
- Qualifications: Strong networking knowledge and experience in technical support and team leadership.
The predicted salary is between 45000 - 55000 £ per year.
Are you an experienced networking professional who enjoys solving complex technical challenges and supporting others to deliver great customer outcomes?
We're looking for a Data Team Lead to help coordinate our Tier 2 and Tier 3 Data Support services, ensuring high-quality technical support, project delivery, and operational performance across a diverse technology environment.
This is a hands‑on role that combines technical expertise with first‑line leadership responsibilities.
You'll act as the technical escalation point for the team, providing guidance on complex incidents, supporting the development of engineers, and helping to prioritise workloads to ensure service commitments are met.
Working closely with colleagues across data, voice, infrastructure and service teams, you'll play an important role in maintaining reliable and effective customer services.
This role is ideal for an experienced engineer looking to take the next step in their career or an existing Team Lead who wants to remain close to the technology.
You'll have the opportunity to work with a broad range of networking and communications technologies, contribute to continuous improvement initiatives, and help develop the technical capability of a collaborative and high‑performing team.
- Strong technical knowledge of LAN, WAN and enterprise networking technologies.
- Experience supporting and troubleshooting complex data and network environments.
- Proven ability to diagnose and resolve technical issues within a managed services or enterprise support environment.
- Experience providing technical guidance, coaching or supervision to other engineers.
- Excellent problem-solving and analytical skills.
- Strong communication skills with the ability to explain technical concepts to a range of audiences.
- Experience working within a customer-focused support or service delivery environment.
- Good understanding of IT service management principles, with ITIL knowledge desirable.
- Knowledge of voice, unified communications or infrastructure technologies would be advantageous.
- Ability to manage competing priorities and make sound technical decisions under pressure.
- Commitment to continuous learning and professional development.
- Relevant networking, infrastructure or vendor certifications would be beneficial.
- Full driving licence and willingness to travel when required.
- Ability to participate in an out-of-hours Retainer Scheme
Data Team Lead employer: hrinbox@jtglobal.com
hrinbox@jtglobal.com is an attractive employer due to its focus on professional development and hands-on leadership roles. The collaborative environment fosters growth and allows employees to remain close to technology while supporting customer success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead
✨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 hrinbox@jtglobal.com!
✨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 Team Lead at hrinbox@jtglobal.com.
✨Leverage Professional Networks
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 hrinbox@jtglobal.com.
✨Apply Directly through Our Website
When you find a suitable opening like Data Team Lead at hrinbox@jtglobal.com, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Team Lead
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 hrinbox@jtglobal.com, 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 hrinbox@jtglobal.com. 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 hrinbox@jtglobal.com
✨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 hrinbox@jtglobal.com!
✨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.
