At a Glance
- Tasks: Build scalable data solutions and develop real-time data pipelines.
- Company: WeAreTechWomen, a forward-thinking tech organisation in Newcastle upon Tyne.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and teamwork.
- Why this job: Join a dynamic team and make an impact on data quality and integrity.
- Qualifications: Strong Java experience and familiarity with AWS services required.
The predicted salary is between 50000 - 65000 £ per year.
WeAreTechWomen is looking for a Data Engineer to join their team in Newcastle upon Tyne. This hybrid position requires 3 days in the office and offers the opportunity to build scalable data solutions.
Ideal candidates should have strong experience in Java and familiarity with AWS services. You'll work on data pipelines and collaborate with analytics teams to ensure data quality and integrity.
Senior Data Engineer: Real-Time Pipelines & Cloud in Newcastle upon Tyne employer: WeAreTechWomen
WeAreTechWomen is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Newcastle upon Tyne. With a strong emphasis on employee growth, we offer numerous opportunities for professional development while working on cutting-edge data solutions. Our hybrid work model promotes a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Real-Time Pipelines & Cloud in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees at WeAreTechWomen on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with Java and AWS. This hands-on demonstration can really set us apart from other candidates.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We can even do mock interviews together to boost our confidence before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and any updates directly from there.
We think you need these skills to ace Senior Data Engineer: Real-Time Pipelines & Cloud in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Java and AWS services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in building data pipelines or ensuring data quality. We’re looking for candidates who can think on their feet and come up with innovative solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Tech Stack
Make sure you brush up on your Java skills and AWS services before the interview. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and understanding of real-time data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data quality and integrity. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you tackled those issues effectively.
✨Collaboration is Key
Since you'll be working closely with analytics teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you ensure everyone is on the same page when it comes to data solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data projects or how they measure success in their data engineering team. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
