At a Glance
- Tasks: Design and maintain data solutions that drive insights and business value.
- Company: Tenth Revolution Group, a leader in innovative remote work culture.
- Benefits: Flexible remote work, healthy work-life balance, and inclusive environment.
- Other info: Exciting opportunity for career growth in a supportive setting.
- Why this job: Join a passionate team and contribute to impactful data projects.
- Qualifications: Proficient in AWS, Google Cloud, and Python; Java experience is a plus.
The predicted salary is between 63000 - 77000 £ per year.
Brand: Tenth Revolution Group
Reference: 872Post ID: 124772Location: London, GBPosted: 2025-11-25Elevate your career as a Data Engineer in an innovative remote environment.
We are seeking an experienced professional to design, implement, and maintain data solutions that drive insights and business value.
Key Responsibilities and
Skills:- Proficient in AWS and Google Cloud platforms for data processing and storage.- Strong programming skills in Python, with experience in Java being beneficial.- Ability to work with advanced tools and technologies, including AWS Data services and Gen AI.- Collaborate effectively with cross-functional teams to enhance data-driven decision-making.- Demonstrated experience in building scalable data pipelines and architectures.
This permanent position offers the flexibility of remote work, ensuring a healthy work-life balance.
The ideal candidate is someone who thrives in a supportive and inclusive environment, eager to contribute to impactful projects.
If you are a passionate data engineer ready to drive excellence and innovation, we encourage you to apply.
We welcome applicants from all backgrounds and experiences to join this exciting opportunity.
Senior Engineer, Data Engineering employer: Nigel Frank International
Join a forward-thinking Microsoft technology organisation that prioritises innovation and employee development in the rapidly evolving field of AI. With a strong emphasis on collaboration, you will lead a talented team while enjoying the flexibility of remote work in the UK, alongside competitive compensation and opportunities for professional growth. This is an exceptional chance to make a significant impact in shaping AI solutions for enterprise customers within a supportive and dynamic work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Get Involved in Data Science Meetups
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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 Nigel Frank International.
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We think you need these skills to ace Senior Engineer, Data Engineering
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 Nigel Frank International, 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 Nigel Frank International. 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 Nigel Frank International
✨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 Nigel Frank International!
✨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.
