At a Glance
- Tasks: Build and optimise ELT pipelines using Python and Databricks.
- Company: Join TwinThread at JPMorgan Chase, a leader in data engineering.
- Benefits: Inclusive culture, growth opportunities, and competitive salary.
- Other info: Be part of a team that values diversity and innovation.
- Why this job: Make an impact with your skills in a dynamic and diverse environment.
- Qualifications: Experience in AWS, SQL, and data lifecycle practices required.
The predicted salary is between 60000 - 80000 € per year.
TwinThread is growing its data engineering team at JPMorgan Chase and seeks a skilled Data Engineer. In this role, you will develop ELT pipelines and workflows using Python and Databricks while ensuring data security and implementing scalable solutions.
The ideal candidate will have solid experience in AWS, SQL, and data lifecycle practices. You’ll be part of an inclusive culture that values diversity and offers opportunity for growth.
Senior Data Engineer — Python & Databricks in London employer: TwinThread
At TwinThread, we pride ourselves on being an excellent employer by fostering an inclusive culture that values diversity and encourages professional growth. As a Senior Data Engineer at JPMorgan Chase, you will not only work with cutting-edge technologies like Python and Databricks but also benefit from a collaborative environment that supports your career development and offers competitive benefits tailored to enhance your work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Python & Databricks in London
✨Tip Number 1
Network like a pro! Reach out to current employees at TwinThread or JPMorgan Chase on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with Python, Databricks, and AWS. This hands-on evidence can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering interview questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who fit our inclusive culture.
We think you need these skills to ace Senior Data Engineer — Python & Databricks in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Databricks, 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 excited about the role at TwinThread and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data engineering. We’re looking for candidates who can think critically and implement scalable solutions, so share those 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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at TwinThread
✨Know Your Tech Stack
Make sure you brush up on your Python and Databricks skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in developing ELT pipelines. Having specific examples will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand Data Security
Since data security is a key part of the role, be prepared to talk about best practices you've implemented in previous positions. Think about scenarios where you ensured data integrity and compliance, and be ready to explain your thought process and the outcomes.
✨Showcase Your AWS Knowledge
Familiarity with AWS is crucial for this position. Brush up on the services relevant to data engineering, like S3, Redshift, and Lambda. Be ready to discuss how you've leveraged these services in your work, and consider any challenges you faced and how you overcame them.
✨Emphasise Collaboration and Diversity
TwinThread values an inclusive culture, so highlight your experience working in diverse teams. Share examples of how you’ve collaborated with others to achieve common goals, and express your enthusiasm for contributing to a positive team environment.
