At a Glance
- Tasks: Build and optimise scalable data pipelines using modern technologies.
- Company: Global consultancy with a focus on advanced technology solutions.
- Benefits: Competitive salary, hybrid work model, and strong career progression.
- Other info: Innovative culture with exposure to cutting-edge cloud technologies.
- Why this job: Join a collaborative team and work on impactful data projects.
- Qualifications: 3+ years in data engineering, proficient in Java or Python.
The predicted salary is between 50000 - 65000 £ per year.
Im currently working with a global consultancy to hire Data Engineers to join a growing Advanced Technology team delivering large-scale data solutions across public and private sector clients. This is a hands-on role where youll work with modern data technologies, building scalable pipelines and real-time data platforms that power analytics and AI-driven decision making.
What youll be doing:
- Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark
- Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue)
- Contributing to data architecture, modelling, and best practices across modern data platforms
- Deploying and maintaining solutions using CI/CD and Infrastructure as Code (Terraform, CloudFormation)
- Collaborating with analytics, AI, and product teams to deliver high-quality, reliable datasets
What theyre looking for:
- Strong experience in data engineering or large-scale data platforms (3+ years)
- Proficiency in Java or Python
- Hands-on experience with streaming technologies (Kafka / Flink preferred)
- Good understanding of distributed systems and cloud platforms (AWS ideally)
- Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices
Why consider this role?
- Work on high-impact, large-scale data projects
- Exposure to modern cloud and streaming technologies
- Strong career progression within a global organisation
- Collaborative, innovation-focused engineering culture
Please note: This role requires eligibility for UK security clearance (5 years UK residency).
Data Engineer in Newcastle upon Tyne employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 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 All The Top Bananas!
✨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 All The Top Bananas.
✨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 All The Top Bananas.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at All The Top Bananas, 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 in Newcastle upon Tyne
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 All The Top Bananas, 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 All The Top Bananas. 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 All The Top Bananas
✨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 All The Top Bananas!
✨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.
