At a Glance
- Tasks: Build and optimise data pipelines for a cutting-edge Enterprise Data Platform.
- Company: Join a leading tech partner in a dynamic hybrid work environment.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Exciting long-term project with potential for career advancement.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Experience in data engineering, ETL/ELT pipelines, and proficiency in Python or SQL.
The predicted salary is between 49500 - 60500 £ per year.
Data Engineer | Knutsford (Hybrid)
RED now has a new contract opportunity for a Data Engineer to join one of our key partners on a long-term Enterprise Data Platform & Analytics Programme.
This contract is to start ASAP and will be hybrid, with 2-3 days per week onsite in Knutsford, UK.
Specific skills/experience required
- Strong hands-on experience in Data Engineering and data pipeline development
- Experience building ETL/ELT pipelines and integrating data across enterprise platforms
- Strong proficiency with Python, SQL, Spark or similar data processing technologies
- Experience working with structured and unstructured data at scale
- Knowledge of cloud-based data services and storage solutions, preferably AWS
- Experience supporting enterprise data integration initiatives
- Strong analytical, troubleshooting and problem-solving skills
- Excellent communication skills in English
- Candidates must be located in the UK.
- #J-18808-Ljbffr
Data engineer employer: RED GLOBAL TRANSPORTES
At RED GLOBAL TRANSPORTES, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an SAP S/4HANA Procurement Lead, you will benefit from flexible hybrid working arrangements, professional development opportunities, and the chance to contribute to a significant enterprise-wide transformation project in the vibrant area of Stevenage. Join us to be part of a forward-thinking team that values innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Data engineer
✨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 RED GLOBAL TRANSPORTES!
✨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 Data engineer at RED GLOBAL TRANSPORTES.
✨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 RED GLOBAL TRANSPORTES.
✨Apply Directly through Our Website
When you find a suitable opening like Data engineer at RED GLOBAL TRANSPORTES, 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 Data engineer
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 RED GLOBAL TRANSPORTES, 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 RED GLOBAL TRANSPORTES. 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 RED GLOBAL TRANSPORTES
✨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 RED GLOBAL TRANSPORTES!
✨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.
