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- Tasks: Design and maintain scalable data solutions using Databricks, Python, and AWS.
- Company: Global financial services firm with an innovative Capital Analytics team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on data-driven decision-making in a dynamic environment.
- Qualifications: Proven experience in data management and strong problem-solving skills.
- Other info: Collaborate with cross-functional teams and enhance your communication skills.
The predicted salary is between 48000 - 72000 £ per year.
A global financial services firm in Glasgow is seeking a talented Lead Software/Data Engineer to join its innovative Capital Analytics team. In this role, you will design and maintain scalable data solutions, utilizing technologies such as Databricks, Python, and AWS.
Responsibilities include:
- Developing data pipelines
- Ensuring data quality
- Collaborating with cross-functional teams
The ideal candidate will have proven experience in data management, strong problem-solving skills, and the ability to communicate effectively with stakeholders. This is a unique opportunity to impact data-driven decision-making in a dynamic environment.
Lead Software Engineer - Data & Analytics (Databricks/AWS) in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Data & Analytics (Databricks/AWS) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, Python, and AWS. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to data engineering. We recommend practicing coding challenges and discussing your past experiences with data management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Software Engineer - Data & Analytics (Databricks/AWS) in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how you can contribute to our Capital Analytics team. Keep it engaging and personal – we love to see your personality!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for those strong problem-solving skills, so don’t hold back on sharing your success stories!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Python, and AWS. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data management and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for interviewers to see your thought process and problem-solving abilities.
✨Communicate Clearly
Since this role involves collaborating with cross-functional teams, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to communicate effectively with stakeholders who may not have a technical background.
✨Understand the Company’s Goals
Research the global financial services firm and its Capital Analytics team. Understand their mission and how your role as a Lead Software Engineer can contribute to their data-driven decision-making. This knowledge will help you tailor your responses and show genuine interest in the position.
