At a Glance
- Tasks: Design and operate real-time data pipelines using Apache Kafka and Spark.
- Company: Norton Blake, a leader in the energy sector with a flexible work culture.
- Benefits: Up to £85,000 salary, hybrid working, and opportunities for professional growth.
- Other info: Permanent position with a collaborative and innovative environment.
- Why this job: Join a dynamic team and make an impact in the energy sector with cutting-edge technology.
- Qualifications: Experience with cloud platforms, CI/CD, and data governance is preferred.
The predicted salary is between 85000 - 85000 £ per year.
Norton Blake is seeking a Data Engineer – Streaming for a London-based role. The position is permanent with hybrid working and up to £85,000 per annum.
You will design and operate real-time data pipelines using Apache Kafka and Spark, build scalable batch and streaming solutions, and collaborate with cross-functional teams in a flexible energy-sector environment.
Experience with cloud platforms, CI/CD, and data governance is valued for this role.
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Real-Time Streaming Data Engineer - Hybrid London employer: Norton Blake
Join a leading enterprise organisation in West London that values innovation and collaboration, offering a dynamic work culture where your expertise as a Power Platform Architect will directly influence the future of digital transformation. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside senior stakeholders in a hybrid environment, ensuring a balanced work-life experience. This role not only allows you to shape best practices but also positions you at the forefront of cutting-edge Microsoft solutions, making it an exciting and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Streaming Data Engineer - Hybrid 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 Norton Blake!
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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 Norton Blake.
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When you find a suitable opening like Real-Time Streaming Data Engineer - Hybrid London at Norton Blake, 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 Real-Time Streaming Data Engineer - Hybrid 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 Norton Blake, 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 Norton Blake. 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 Norton Blake
✨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 Norton Blake!
✨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.
