At a Glance
- Tasks: Design and optimise scalable data pipelines for impactful analytics.
- Company: Dynamic private equity-backed organisation with a people-first culture.
- Benefits: Competitive salary, Microsoft certification funding, and professional development support.
- Other info: Opportunity to work closely with senior leadership and shape data capabilities.
- Why this job: Join a greenfield transformation project and influence the future of data strategy.
- Qualifications: Experience in cloud data environments, PySpark, SQL, and building production-grade pipelines.
We're partnering with a highly successful, private equity-backed organisation that is investing heavily in its data and technology capabilities. They are driving a company-wide data strategy and the business is embarking on a greenfield transformation journey. They are seeking a Data Engineer to help build the foundations of a modern enterprise data platform.
This is an opportunity to join at the start of the journey, influence technical direction and play a key role in shaping how data is leveraged across the organisation.
As a Data Engineer, you'll be responsible for designing, building and optimising scalable data pipelines and platforms that enable business-wide analytics and reporting. Working within a growing data function, you'll help establish best practices, develop modern data architecture and deliver trusted, production-ready datasets that support strategic decision-making across the organisation.
Why?
- Greenfield data transformation project
- Significant autonomy and influence from day one
- Opportunity to work directly with senior leadership who recognise the value of data
- Forward-thinking technology roadmap with investment in Microsoft Fabric
- Strong people-first culture with genuine investment in employees
- Microsoft certification funding and professional accreditation support
- Opportunity to help build a capability
- Private equity-backed organisation with ambitious growth plans
Essential Skills & Experience
- Strong experience as a Data Engineer within modern cloud data environments
- Expertise in PySpark, SQL and data transformation practices
- Experience building production-grade data pipelines
- Knowledge of Microsoft Fabric
- Experience working with Delta Lake and Lakehouse architectures
Data Engineer in Burnley employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Burnley
✨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 Engineer 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 Engineer 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!
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.
