At a Glance
- Tasks: Build and optimise data pipelines in a dynamic cloud environment.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Attractive salary, flexible working options, and growth opportunities.
- Other info: Exciting projects with potential for career advancement.
- Why this job: Be at the forefront of cloud technology and data engineering.
- Qualifications: Experience in Python, SQL, and cloud infrastructure management required.
The predicted salary is between 63000 - 77000 £ per year.
- Data engineer with prior expertise in on end-to-end data pipeline development and enterprise cloud ecosystem integration with proven, dual expertise in core data engineering AND direct, hands‑on production experience in cloud infrastructure environment management.
- Advanced proficiency in Python, SQL, and Apache Spark (or equivalent Big Data frameworks) combined with production‑level ETL/ELT pipeline design.
- Designing and maintaining monthly high-volume data ingestion feeds, optimizing cross‑platform data transfers, and managing enterprise‑grade infrastructure security, scalability, and resource allocation.
- Deep, hands‑on practical experience configuring, deploying, and managing AWS cloud infrastructure services (IAM, VPC networking, EC2/EMR provisioning, S3 security policies, and serverless compute)/AWS ecosystem, vector databases (for AI/analytics pipelines), and Enterprise Data Platform (EDP) integration frameworks.
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Cloud Data Engineer (Data & Cloud Infrastructure/Data Platform) in Knutsford employer: GIOS Technology
Join our dynamic team in Salisbury as a Human Resources Administrator, where we prioritise employee well-being and professional growth. Our hybrid work model promotes a healthy work-life balance, while our supportive culture fosters collaboration and innovation. With opportunities for development and a commitment to excellence in customer service, we are dedicated to creating a rewarding environment for all employees.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer (Data & Cloud Infrastructure/Data Platform) in Knutsford
✨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 GIOS Technology!
✨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 Cloud Data Engineer (Data & Cloud Infrastructure/Data Platform) at GIOS Technology.
✨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 GIOS Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Cloud Data Engineer (Data & Cloud Infrastructure/Data Platform) at GIOS Technology, 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 Cloud Data Engineer (Data & Cloud Infrastructure/Data Platform) in Knutsford
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 GIOS Technology, 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 GIOS Technology. 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 GIOS Technology
✨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 GIOS Technology!
✨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.
