At a Glance
- Tasks: Design and build data pipelines using Python and SQL for large-scale data initiatives.
- Company: Join Jefferson Frank, a leader in data and AI engineering.
- Benefits: Salary up to £50,000, hybrid work, and career development opportunities.
- Other info: Exciting career growth in dynamic locations like Newcastle or Manchester.
- Why this job: Gain exposure to various industries while working in a collaborative culture.
- Qualifications: Experience in Python and SQL; SC clearance required.
The predicted salary is between 50000 - 50000 € per year.
Jefferson Frank is seeking a Data & AI Engineer with a salary of up to £50,000 to support large-scale data initiatives. The ideal candidate will design and build data pipelines using Python and SQL, while gaining exposure to various industries. This hybrid role requires UK Security Check (SC) clearance and offers opportunities for career development within a collaborative engineering culture in locations such as Newcastle or Manchester.
Data & AI Engineer — Hybrid, SC Eligible in Sunderland employer: Jefferson Frank
At Jefferson Frank, we pride ourselves on being an excellent employer, offering a dynamic and collaborative work culture that fosters innovation and professional growth. As a Data & AI Engineer, you'll not only work on exciting large-scale data initiatives but also benefit from our commitment to employee development and the flexibility of a hybrid working model in vibrant cities like Newcastle or Manchester.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Engineer — Hybrid, SC Eligible in Sunderland
✨Tip Number 1
Network like a pro! Reach out to folks in the data and AI space on LinkedIn or at local 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 data pipelines and projects using Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with large-scale data initiatives. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team!
We think you need these skills to ace Data & AI Engineer — Hybrid, SC Eligible in Sunderland
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and SQL, as these are key skills for the Data & AI Engineer role. We want to see how you've designed and built data pipelines in your previous roles, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our collaborative engineering culture. We love seeing genuine enthusiasm!
Showcase Relevant Projects:If you've worked on any projects that involved large-scale data initiatives, make sure to mention them. We’re interested in your hands-on experience, so include any relevant examples that demonstrate your skills and creativity.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are key for the role. Brush up on your knowledge of data pipelines and be ready to discuss any relevant projects you've worked on. This will show that you can hit the ground running!
✨Understand the Company’s Data Initiatives
Research Jefferson Frank and their approach to large-scale data initiatives. Familiarise yourself with the industries they work in and think about how your skills can contribute to their projects. This will demonstrate your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using your data engineering skills. Practice articulating your thought process clearly, as this will help interviewers understand how you tackle challenges and design solutions.
✨Show Your Collaborative Spirit
Since this role is within a collaborative engineering culture, be prepared to discuss your experience working in teams. Share examples of how you’ve contributed to group projects and how you handle feedback, as this will highlight your ability to thrive in a team environment.
