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- Tasks: Build and enhance data pipelines for customer reporting and analytics.
- Company: Leading FinTech company in Central London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on revenue through your expertise in data engineering.
- Qualifications: Experience with Databricks, PySpark, SQL, and data visualisation tools.
- Other info: Join a dynamic team and mentor others while advancing your career.
The predicted salary is between 48000 - 72000 £ per year.
A prominent FinTech company in Central London is seeking a Senior Data Engineer to enhance their data layer for customer reporting and analytics products. This hybrid role involves building and improving data pipelines and influencing team operations through mentoring and code reviews.
Candidates should have proven experience with technologies such as Databricks, PySpark, SQL, and data visualisation tools.
Joining this team offers the chance to significantly impact a core product contributing to the company's revenue.
Senior Data Engineer - Drive Revenue with Data Pipelines employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Drive Revenue with Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your experience with Databricks, PySpark, and SQL. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress and follow up easily.
We think you need these skills to ace Senior Data Engineer - Drive Revenue with Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, PySpark, SQL, and any data visualisation tools you've used. 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 the Senior Data Engineer role and how you can drive revenue with your expertise in building data pipelines. Let us know what makes you tick!
Showcase Your Impact: When detailing your past experiences, focus on the impact you’ve made in previous roles. We love to see quantifiable results, so if you’ve improved processes or contributed to revenue growth, make sure to highlight that!
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 Burns Sheehan
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, PySpark, and SQL. Brush up on your knowledge of data visualisation tools too. Be ready to discuss how you've used these technologies in past projects and how they can enhance customer reporting and analytics.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced while building or improving data pipelines. Highlight your thought process and the impact of your solutions on team operations and product outcomes.
✨Mentorship Matters
Since this role involves mentoring, think about your past experiences in guiding others. Be ready to discuss your approach to code reviews and how you’ve helped colleagues grow their skills in data engineering.
✨Understand the Business Impact
Research the company’s products and how data plays a role in driving revenue. Be prepared to articulate how your work as a Senior Data Engineer can directly contribute to enhancing their core offerings and overall success.
