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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines while ensuring data quality.
- Company: Leading investment house with a focus on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in data services.
- Qualifications: 5+ years in data/software engineering with strong Python and Java skills.
- Other info: Collaborative environment that values communication and agile teamwork.
The predicted salary is between 43200 - 72000 £ per year.
A leading investment house is seeking a Senior Full-Stack Engineer to enhance their data services within a regulated environment. In this hybrid role, you will design and maintain scalable data pipelines, ensure data quality, and collaborate with various teams to drive technology solutions.
Applicants should have:
- 5+ years of experience in data/software engineering
- Strong skills in Python and Java
- Familiarity with modern data engineering tools
Communication skills and agile teamwork are essential.
Senior Full-Stack Data Engineer (Python/Java) Hybrid employer: Mccabe & Barton
Contact Detail:
Mccabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack Data Engineer (Python/Java) Hybrid
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to a hidden job opening that’s not even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Java. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss how you've collaborated with teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Full-Stack Data Engineer (Python/Java) Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data and software engineering, especially with Python and Java. 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 excited about this hybrid role and how your background makes you a perfect fit for enhancing our data services. Let us know what drives you!
Showcase Your Communication Skills: Since communication is key in this role, make sure your application reflects your ability to collaborate effectively. We love seeing examples of teamwork and how you've driven technology solutions in the past.
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’s super easy!
How to prepare for a job interview at Mccabe & Barton
✨Know Your Tech Stack
Make sure you’re well-versed in Python and Java, as these are crucial for the role. Brush up on your knowledge of modern data engineering tools too, as you might be asked to discuss how you've used them in past projects.
✨Showcase Your Experience
With 5+ years in data/software engineering, prepare to share specific examples of your work. Highlight any scalable data pipelines you've designed and how you ensured data quality in a regulated environment.
✨Emphasise Team Collaboration
Since this role involves working with various teams, be ready to discuss your experience in agile teamwork. Share instances where your communication skills helped drive technology solutions effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data services and their approach to technology solutions. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
