At a Glance
- Tasks: Lead a data team while driving innovation with cutting-edge technologies like AI and cloud solutions.
- Company: Flexible employer prioritising work-life balance and employee well-being.
- Benefits: Excellent benefits, strong work/life balance, and opportunities for professional growth.
- Other info: Work in a dynamic environment with significant flexibility and career advancement opportunities.
- Why this job: Join a transformative journey in data management and make a real impact.
- Qualifications: Experience in data engineering, cloud environments, and team leadership.
The predicted salary is between 63000 - 77000 £ per year.
Leading an existing team this role is a blend of hands on data engineering and Team Management. The role will be responsible for leading the adoption of new technologies; cloud lakehouses, data factories, machine learning, and artificial intelligence to drive innovation and improving efficiency across data management.
You will need to be able to work in Cheltenham or nearby sites two days per week and there is a potential that you may be asked to attend site on other occasion should the need arise. However this is a very flexible employer, with agile working who values work life balance, they give a very strong work/life balance and excellent benefits.
The Role
- Providing leadership, guidance, and support to data team members.
- Development and continuous improvement of the end-to-end data platform.
- Build out Machine Learning and AI capability across the data estate.
- Transition of data systems to cloud platforms.
- System ownership of the Data Warehouse and integration tools.
- Represent data roadmap in projects, programmes and strategy.
- Aligning the data team to the needs of internal and external customers.
Your Skills
- Hybrid cloud environments (AWS, Azure, Google)'
- Strong data technical skills (SQL, ETL tools, Data lakes and factories).
- Experience in data warehousing, data integration, and cloud data solutions.
- Capability to engage in and lead successful data projects.
- Familiarity with ML and AI applications in data analysis.
- Team mentoring/leadership and a focus on skills development.
This is an ideal role for a Data Engineer looking to formalise their line management skills along with the opportunity to lead in a significant and exciting transformation programme. The role offers significant flexibility in working patterns but you must be able to attend site in Cheltenham twice a week at your own expense.
For further information, please send your CV in application.
#J-18808-LjbffrData Team Lead in Cheltenham employer: Ivy Rock Partners
Ivy Rock Partners is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration within the digital transformation team. Employees benefit from a strong focus on professional development, with opportunities for mentoring and skill enhancement, all while contributing to meaningful projects that improve user experiences in digital services. Located in a vibrant area, the company promotes a culture of inclusivity and teamwork, making it an attractive place for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead in Cheltenham
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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!
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How to prepare for a job interview at Ivy Rock Partners
✨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!
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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!
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✨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.
