At a Glance
- Tasks: Design and build scalable data platforms for advanced analytics and AI solutions.
- Company: High-growth AI tech company transforming data into business intelligence.
- Benefits: £110,000 salary, share options, private medical insurance, and fully remote work.
- Other info: Enjoy high autonomy and influence in a rapidly evolving tech environment.
- Why this job: Join a pioneering team and shape the future of data and AI technologies.
- Qualifications: Strong experience in data platforms, ETL/ELT pipelines, and secure data services.
The predicted salary is between 63000 - 77000 £ per year.
Lead Data Engineer
Do you have the right skills and experience for this role Read on to find out, and make your application.
Remote UK - £110,000 + Share Options + Private Medical Insurance
A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities.
This is an opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence.
The Opportunity
This is a senior, hands-on position offering significant technical ownership and influence.
Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies.
As the business continues to grow, there will be the opportunity to help build and lead a wider data function.
Key Responsibilities
- Design, build and maintain scalable data platforms and pipelines.
- Develop Data-as-a-Service capabilities across products and customer solutions.
- Create trusted analytics, reporting and business intelligence solutions.
- Design and manage secure, reliable data services and APIs.
- Build data infrastructure supporting machine learning, statistical models and AI systems.
- Establish best practices for data quality, governance, lineage, metadata and observability.
- Embed security, privacy and compliance into data architecture and engineering processes.
- Collaborate across technical and commercial teams to influence data strategy and architecture.
- Required Experience
- Strong hands-on experience building and operating production-grade data platforms.
- Expertise in data architecture, ETL/ELT pipelines, data modelling and orchestration.
- Experience working with large-scale or complex datasets.
- Background delivering analytics and business intelligence solutions.
- Experience designing secure data services and APIs.
- Knowledge of machine learning data foundations and modern AI-enablement practices.
- Strong understanding of statistics, experimentation and data-driven decision making.
- Experience working within enterprise or highly regulated environments.
- Passion for engineering excellence, security, quality and continuous improvement.
- AWS data and analytics ecosystem
What's on Offer?
- Share options.
- Private medical insurance.
- Fully remote UK-based working. xsabvtc
- High levels of autonomy and technical ownership.
- Opportunity to shape the future direction of data and AI within a rapidly sc...
Lead Data Engineer in Newtown employer: Tenth Revolution Group Careers
Join a forward-thinking organisation in South London that prioritises employee development and innovation. With a strong focus on hybrid working, you will benefit from a collaborative work culture that encourages continuous learning and professional growth. Enjoy competitive remuneration and the opportunity to make a significant impact on business transformation initiatives while working alongside dedicated professionals in a supportive environment.
Contact Details:
Tenth Revolution Group Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Newtown
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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 Careers.
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We think you need these skills to ace Lead Data Engineer in Newtown
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 Careers, 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 Careers. 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 Careers
✨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 Careers!
✨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.
