Cloud Data Engineer for Impactful Projects in Newcastle upon Tyne

Cloud Data Engineer for Impactful Projects in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Arup

At a Glance

  • Tasks: Deliver innovative data solutions and collaborate with a multidisciplinary team.
  • Company: Join Arup, a leader in impactful projects and digital services.
  • Benefits: Competitive rewards, health support, and endless learning opportunities.
  • Other info: Dynamic role with a focus on collaboration and professional growth.
  • Why this job: Use your skills to create positive change through data engineering.
  • Qualifications: Experience in data engineering, Python programming, and cloud platforms like Azure or AWS.

The predicted salary is between 40000 - 50000 £ per year.

Arup is seeking a Data Engineer / Developer to join our Digital Services team in Newcastle upon Tyne. This client-facing role focuses on delivering innovative data solutions for various projects while collaborating with a multidisciplinary team.

Candidates should have a solid background in data engineering, programming skills in Python, and expertise in cloud platforms like Azure or AWS, with a passion for using data to create positive changes.

We offer competitive rewards, support for health and wellbeing, and numerous learning opportunities to help you thrive.

Cloud Data Engineer for Impactful Projects in Newcastle upon Tyne employer: Arup

Arup is an exceptional employer that fosters a collaborative and innovative work culture in Newcastle upon Tyne, where you can contribute to impactful projects that make a difference. With a strong emphasis on employee wellbeing, competitive rewards, and abundant opportunities for professional growth, Arup empowers its team members to thrive while working with cutting-edge technologies in a supportive environment.

Arup

Contact Details:

Arup Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Cloud Data Engineer for Impactful Projects in Newcastle upon Tyne

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 Arup!

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 for Impactful Projects at Arup.

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 Arup.

Apply Directly through Our Website

When you find a suitable opening like Cloud Data Engineer for Impactful Projects at Arup, 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 for Impactful Projects in Newcastle upon Tyne

Data Engineering
Programming Skills in Python
Cloud Platforms (Azure or AWS)
Client-Facing Skills
Collaboration
Innovative Data Solutions
Multidisciplinary Teamwork

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 Arup, 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 Arup. 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 Arup

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 Arup!

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.