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- Tasks: Lead the development of a modern analytics platform and deliver scalable data products.
- Company: Forward-thinking tech firm based in Manchester with a collaborative culture.
- Benefits: Hybrid work model, flexible hours, 25 days holiday, private medical insurance, and enhanced parental leave.
- Why this job: Influence key technical decisions and enhance operational efficiency in a dynamic environment.
- Qualifications: Strong experience with Databricks, Pandas, SQL, and PySpark.
- Other info: Join a team that values collaboration and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A forward-thinking tech firm in Manchester is seeking a Senior Data Engineer to lead building a modern analytics platform. You will influence key technical decisions and deliver scalable data products that enhance operational efficiency.
Ideal candidates will have strong experience with:
- Databricks
- Pandas
- SQL
- PySpark
You will thrive in a collaborative environment. The role offers a hybrid work model with flexible hours, 25 days holiday, and additional benefits including private medical insurance and enhanced parental leave.
Senior Data Engineer — Mortgage Lakehouse Analytics (Hybrid) in Manchester employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Mortgage Lakehouse Analytics (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Pandas, SQL, and PySpark. 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! Research common questions for Senior Data Engineer roles and practice your answers. Be ready to discuss how you've influenced technical decisions in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your interest in joining our awesome team.
We think you need these skills to ace Senior Data Engineer — Mortgage Lakehouse Analytics (Hybrid) in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Databricks, Pandas, SQL, and PySpark in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a Senior Data Engineer.
Be Yourself: We value authenticity! Let your personality shine through in your written application. Share your passion for data engineering and how you thrive in collaborative environments – it’s all about finding the right fit!
Apply Through Our Website: Don’t forget to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Stack
Make sure you brush up on your skills with Databricks, Pandas, SQL, and PySpark. Be ready to discuss how you've used these technologies in past projects and be prepared to solve technical problems on the spot.
✨Showcase Your Collaboration Skills
Since this role thrives in a collaborative environment, think of examples where you've worked effectively in a team. Highlight how you contributed to group projects and how you handled any challenges that arose.
✨Understand the Business Impact
Be prepared to discuss how your work as a Data Engineer can enhance operational efficiency. Think about how data products you've built have positively impacted business outcomes in previous roles.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's analytics platform and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
