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- Tasks: Design and build data pipelines while developing top-notch data-science code.
- Company: Leading cybersecurity firm with a focus on innovation and support.
- Benefits: Generous PTO, hybrid work model, and a supportive learning environment.
- Why this job: Join a dynamic AI team and make a real impact in cybersecurity.
- Qualifications: Substantial experience in data engineering and proficiency in databases like PostgreSQL and ElasticSearch.
- Other info: Great opportunity for mentorship and professional growth in a cutting-edge field.
The predicted salary is between 43200 - 72000 £ per year.
A leading cybersecurity firm is seeking a Senior Data Engineer for their AI Team in Edinburgh. This hybrid role requires designing and building data pipelines and developing production-standard data-science code. Candidates should have substantial experience in data engineering and be proficient with various databases, including PostgreSQL and ElasticSearch.
The company offers several benefits, including generous PTO and a supportive learning environment.
Senior Data Engineer - AI Pipelines & Mentorship (Hybrid) employer: N-able
Contact Detail:
N-able Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AI Pipelines & Mentorship (Hybrid)
✨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 portfolio showcasing your data pipelines and any relevant projects. This gives us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions and scenarios. We should also be ready to discuss how we can contribute to the AI team’s goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows we’re serious about joining the team.
We think you need these skills to ace Senior Data Engineer - AI Pipelines & Mentorship (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and your proficiency with databases like PostgreSQL and ElasticSearch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data pipelines. We love seeing candidates who can articulate their enthusiasm for the field and how they can contribute to our team.
Showcase Your Mentorship Skills: Since this role involves mentorship, highlight any experience you have in guiding others or leading projects. We value collaboration and want to know how you can help foster a supportive learning environment within our team.
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. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at N-able
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around building data pipelines and working with databases like PostgreSQL and ElasticSearch. Be ready to discuss your past projects and how you've tackled challenges in these areas.
✨Show Off Your Mentorship Skills
Since this role involves mentorship, think about examples where you've guided others or led a team. Prepare to share how you approach teaching complex concepts and fostering a supportive learning environment.
✨Understand the Company’s Mission
Research the cybersecurity firm and understand their goals and values. Being able to articulate how your skills align with their mission will show that you're genuinely interested in the role and the company.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their AI initiatives, team dynamics, or how they support professional development. It shows you're engaged and keen to learn more about the role.
