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- Tasks: Build and operate scalable data pipelines for a cutting-edge Data Collection Hub.
- Company: Join Ripjar, a forward-thinking tech company in the UK.
- Benefits: Enjoy a competitive salary, 25 days annual leave, and private family healthcare.
- Other info: Great opportunity for career growth and development in a collaborative team.
- Why this job: Make an impact by engineering innovative data solutions in a dynamic environment.
- Qualifications: 2+ years of software experience and proficiency in Python or Node.js.
The predicted salary is between 50000 - 60000 £ per year.
Ripjar is seeking a Data Engineer to join their team in the United Kingdom. This role focuses on building and operating a Data Collection Hub, with responsibilities including engineering distributed ingestion services and designing data contracts.
The ideal candidate has 2+ years of experience in production software, is proficient in programming languages such as Python or Node.js, and possesses skills in debugging, performance improvement, and CI/CD.
The role offers a competitive salary, 25 days annual leave plus your birthday off, and private family healthcare.
Data Engineer - Build Scalable Distributed Data Pipelines employer: Ripjar
Contact Detail:
Ripjar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Build Scalable Distributed Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ripjar on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data engineering projects. We want to see how you’ve built scalable pipelines and tackled real-world problems.
✨Tip Number 3
Ace the interview! Brush up on your Python or Node.js skills and be ready to discuss debugging and performance improvements. We love candidates who can think on their feet!
✨Tip Number 4
Apply through our website! It’s the easiest way for us to see your application and get you into the process. Don’t miss out on that competitive salary and those sweet benefits!
We think you need these skills to ace Data Engineer - Build Scalable Distributed Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with distributed data pipelines and the programming languages mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our Data Collection Hub. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, include them in your application. We love seeing practical examples of your skills in action!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Ripjar
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or Node.js. Brush up on your knowledge of distributed systems and data pipelines, as you might be asked to discuss your experience with these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've debugged issues or improved performance in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly demonstrate your impact.
✨Understand CI/CD Practices
Since the role involves continuous integration and deployment, be ready to talk about your experience with CI/CD tools and processes. Highlight any relevant projects where you’ve implemented these practices to streamline workflows.
✨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 the team’s current projects or challenges they face with their Data Collection Hub. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.