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- Tasks: Create and maintain distributed data systems while ensuring operational reliability.
- Company: A leading tech company focused on innovative data products.
- Benefits: Competitive salary, remote work options, and a supportive environment.
- Other info: Great opportunity for career growth in a collaborative setting.
- Why this job: Join a dynamic team and make an impact in the data engineering field.
- Qualifications: 2+ years of software engineering experience with Python or Node.js.
The predicted salary is between 28800 - 48000 £ per year.
A technology company specializing in data products is looking for a Data Engineer with over 2 years of software engineering experience. Your primary role will involve creating and maintaining distributed data systems, ensuring operational reliability, and contributing to CI/CD processes.
If you are proficient in Python or Node.js and have experience with data ingestion services, this is a great opportunity. The position offers competitive benefits including remote work options and a supportive working environment.
Data Engineer — Distributed Ingestion & Pipelines (Remote) in Manchester employer: Ripjar
Contact Detail:
Ripjar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Distributed Ingestion & Pipelines (Remote) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving distributed data systems or CI/CD processes. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python or Node.js. Practice coding challenges and be ready to discuss your past experiences with data ingestion services. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer — Distributed Ingestion & Pipelines (Remote) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with distributed data systems and CI/CD processes. We want to see how your skills in Python or Node.js can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past work with data ingestion services and how you ensure operational reliability.
Show Your Passion for Data Engineering: Let us know what excites you about data engineering! Whether it's building robust pipelines or optimising data flows, we love to see your enthusiasm for the field.
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 us!
How to prepare for a job interview at Ripjar
✨Know Your Tech Stack
Make sure you’re well-versed in Python or Node.js, as these are key for the role. Brush up on your knowledge of distributed data systems and be ready to discuss your experience with data ingestion services.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Highlight your contributions to CI/CD processes and how you ensured operational reliability in your past roles.
✨Ask Insightful Questions
Demonstrate your interest in the company by asking thoughtful questions about their data products and team dynamics. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
✨Emphasise Remote Work Experience
Since this is a remote position, be ready to discuss your experience working in a remote environment. Talk about how you manage your time, communicate effectively, and stay productive while working from home.