At a Glance
- Tasks: Design and deliver a unified analytics layer for advanced data and AI insights.
- Company: Join a forward-thinking tech business at the forefront of data innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on cutting-edge technology and AI.
- Why this job: Shape the future of data architecture and analytics in a high-impact role.
- Qualifications: Experience in ETL pipelines, data modelling, and strong SQL skills required.
At Data Idols, we are working with a forward-thinking technology business building advanced data and AI platforms that combine traditional analytics with next-generation AI-driven intelligence. This is a high-growth environment where data is central to product innovation. The business is now looking for a Lead Analytics Engineer to take ownership of its data architecture and analytics capabilities as it continues to scale.
The Opportunity
This is a senior, high-impact role where you will design and deliver a unified analytics layer that supports both traditional reporting and AI-powered insight generation. You will be responsible for building scalable data models, enabling advanced analytics, and integrating AI capabilities such as semantic search and natural language querying. Working closely with product, data, and engineering teams, you will play a key role in shaping how data is structured, transformed, and consumed across the platform. This role suits someone who enjoys working at the intersection of analytics engineering, data architecture, and AI, and is comfortable building production-ready data systems in a fast-moving environment.
Skills and experience
- Experience designing and building ETL pipelines
- Strong understanding of data modelling, schema design, and data structures
- Strong SQL skills and experience
- Experience with data pipeline orchestration tools
- Exposure to LLMs or AI-driven analytics workflows
- Proven experience building scalable data models and systems end-to-end
If you are looking for a new challenge and want to work on cutting-edge data and AI platforms, please submit your CV for initial screening and further details.
Principal Data Engineer employer: Data Science Festival
At Data Idols, we pride ourselves on being a forward-thinking technology business that fosters a dynamic and inclusive work culture. Our London-based team enjoys competitive salaries, opportunities for professional growth, and the chance to work with cutting-edge data and AI technologies in a high-growth environment. We are committed to empowering our employees to take ownership of their roles while collaborating closely across teams to drive innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer
✨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 Data Science Festival!
✨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 Principal Data Engineer at Data Science Festival.
✨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 Data Science Festival.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Engineer at Data Science Festival, 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 Principal Data Engineer
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 Data Science Festival, 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 Data Science Festival. 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 Data Science Festival
✨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 Data Science Festival!
✨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.
