At a Glance
- Tasks: Lead data engineering projects and design modern data platforms using cutting-edge technologies.
- Company: Join a highly regarded data consultancy with a strong reputation for excellence.
- Benefits: Competitive salary, flexible hybrid working, and investment in your professional development.
- Other info: Strong focus on career progression into senior leadership roles.
- Why this job: Shape strategy, lead teams, and work hands-on with innovative data solutions.
- Qualifications: Proven experience in data engineering with expertise in SQL, Python, and Azure services.
The predicted salary is between 80000 - 100000 £ per year.
This is an opportunity to join a growing, highly regarded data consultancy that is delivering cutting-edge data engineering solutions across a range of industries.
They have built a strong reputation for combining hands-on technical excellence with strategic delivery, working closely with clients to design and implement modern data platforms across Azure, Databricks and Microsoft Fabric.
- Leading end-to-end Data Engineering delivery across multiple client engagements
- Designing and building data pipelines, lakehouse architectures and data platforms
- Working hands-on with Spark, SQL and Python
- Leveraging Azure Data Services, Databricks and Microsoft Fabric
- Managing and mentoring data engineering teams
- Ensuring best practices across data governance, architecture and delivery
Strong focus on career progression into senior leadership roles.
Investment in training, certifications and professional development.
Exposure to cutting-edge technologies (Fabric, Databricks, AI-driven platforms).
Varied, high-impact projects across multiple industries.
Flexible hybrid working model.
Proven experience in Data Engineering, with strong hands-on expertise in:
- Data pipelines, data lakes/lakehouse architectures & data warehouses
- Strong knowledge of Azure Data Services (Synapse, Data Factory, Databricks, Fabric)
- Proficiency in SQL and Python
If you're looking to step into a lead role within a growing consultancy, where you can shape strategy, lead teams and work hands-on with modern data platforms.
Data Manager Developer in London employer: Tenth Revolution Group
Join a dynamic and innovative data consultancy in London, where you will not only lead cutting-edge data engineering projects but also enjoy a supportive work culture that prioritises career progression and professional development. With a flexible hybrid working model and exposure to the latest technologies like Databricks and Microsoft Fabric, this role offers a unique opportunity to make a significant impact across various industries while being part of a collaborative team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager Developer in London
✨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 Tenth Revolution Group!
✨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 Manager Developer at Tenth Revolution Group.
✨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 Tenth Revolution Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Manager Developer at Tenth Revolution Group, 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 Manager Developer in London
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 Tenth Revolution Group, 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 Tenth Revolution Group. 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 Tenth Revolution Group
✨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 Tenth Revolution Group!
✨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.
