At a Glance
- Tasks: Lead the design and build of core data pipelines for analytics and data science.
- Company: Join NewDay, a forward-thinking company at the forefront of data engineering.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in a scalable Data Lake environment.
- Why this job: Shape the future of data engineering while mentoring the next generation of engineers.
- Qualifications: Experience with Spark, Python, AWS, DBT, and Snowflake is essential.
The predicted salary is between 63000 - 77000 £ per year.
New Day is looking for a Senior Data Engineer to lead design, build, and evolution of core pipelines powering analytics and data science across our business.
You’ll shape ingestion/transformation pipelines with Spark, Python, AWS, DBT, and Snowflake, while guiding data engineering standards and governance.
You will mentor engineers, drive CI/CD for cloud-native solutions, and evolve our Data Lake to be robust, scalable, and future-ready. Hybrid London-based role.
Senior Data Engineer - Hybrid Cloud Pipelines in London employer: NewDay Cards Limited
NewDay is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to make impactful contributions. With a focus on professional development, you will have access to growth opportunities while working in a dynamic environment that values your insights and expertise. The hybrid working arrangements provide flexibility, allowing you to balance your professional and personal life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid Cloud Pipelines in London
✨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 NewDay Cards Limited.
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We think you need these skills to ace Senior Data Engineer - Hybrid Cloud Pipelines in 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 NewDay Cards Limited, 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 NewDay Cards Limited. 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 NewDay Cards Limited
✨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!
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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 NewDay Cards Limited!
✨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.
