At a Glance
- Tasks: Enhance data architecture and streamline processes using AWS technologies.
- Company: People-centric consultancy group backed by a large enterprise.
- Benefits: Competitive salary, hybrid work model, and career development opportunities.
- Other info: Active SC Clearance required; excellent opportunity for career growth.
- Why this job: Make a real impact through data engineering in a supportive team environment.
- Qualifications: Experience with AWS, SQL, data modelling, and Python or similar languages.
The predicted salary is between 51750 - 63250 £ per year.
Junior Data Engineer - AWS - £40k
I am recruiting for a Junior Data Engineer to join a people-centric organisation in Newcastle.
This opportunity is within a small consultancy group, which is backed by a large enterprise.
This will allow for enterprise level exposure and clientele, but with the benefit of a small close-knit team.
You will be working to enhance data architecture and streamline processes using AWS technologies.
This role will focus on improving data workflows and ensuring the reliability and performance of our data systems.
You will contribute significantly to key projects that drive efficiency and support effective decision-making across the organisation.
This role could be perfect for you if
- you have strong experience with AWS
- you are proficient in SQL and able to optimise complex queries
- you have a solid understanding of data modelling concepts and ETL processes
- you are familiar with Python or similar programming languages for data manipulation
- you enjoy working collaboratively, and communicating clearly and professionally.
This position is on a hybrid basis and you will need to be in office in Newcastle 3 days per week.
This role requires active SC Clearance.
This is a great opportunity for someone looking to develop their career, make a real impact through data engineering, and contribute to an organisation's success.
#J-18808-Ljbffr
Junior Data Engineer - AWS - GBP40k in North East employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer - AWS - GBP40k in North East
✨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 Nigel Frank!
✨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 Junior Data Engineer - AWS - GBP40k at Nigel Frank.
✨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 Nigel Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Engineer - AWS - GBP40k at Nigel Frank, 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 Junior Data Engineer - AWS - GBP40k in North East
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, 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. 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
✨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!
✨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.
