At a Glance
- Tasks: Build and optimise Python data pipelines while working on exciting graph and ontology projects.
- Company: Join a leading data analytics company in the heart of London.
- Benefits: Enjoy a competitive salary, flexible remote work, and opportunities for professional growth.
- Why this job: Kickstart your career in data engineering and make a real impact with your skills.
- Qualifications: 1-2 years of Python experience and knowledge of graph and ontology required.
- Other info: On-site role with a vibrant team and great career advancement potential.
The predicted salary is between 28800 - 48000 £ per year.
A leading data analytics company is seeking a Junior Data Engineer to join their team in London. This entry-level role involves developing Python data pipelines and engaging in graph and ontology-related tasks.
Candidates should have 1-2 years of experience with Python, as well as skills in graph and ontology. Eligibility for SC Clearance is required. The position is primarily on-site, with 20% remote work available.
Junior Data Engineer - Python Pipelines | London On-Site employer: The Business Gifts Co
Contact Detail:
The Business Gifts Co Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer - Python Pipelines | London On-Site
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data pipelines. This gives us a chance to demonstrate our abilities beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on graph and ontology concepts. We should be ready to discuss how we can apply these in real-world scenarios during our chat with the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining the team.
We think you need these skills to ace Junior Data Engineer - Python Pipelines | London On-Site
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, so don’t hold back on the details!
Talk About Graph and Ontology Experience: If you've worked with graph databases or ontology-related tasks, let us know! This is a key part of the role, and we’d love to hear about your hands-on experience.
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We appreciate when candidates take the time to align their skills with what we're looking for!
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’re considered for the role!
How to prepare for a job interview at The Business Gifts Co
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with developing data pipelines and any projects you've worked on. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with Graphs and Ontologies
Since this role involves graph and ontology-related tasks, take some time to understand these concepts. Be prepared to explain how you've used them in past projects or how you would approach related problems.
✨Research the Company
Get to know the company’s mission, values, and recent projects. This will not only help you tailor your answers but also show your genuine interest in the role and the company. Plus, it gives you a chance to ask insightful questions!
✨Prepare for SC Clearance Questions
As eligibility for SC Clearance is required, be ready to discuss your background and any relevant experiences. Understand what SC Clearance entails and be honest about your history, as transparency is key in these discussions.