Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of data pipelines and deliver impactful customer insights.
- Company: Innovative tech company in London with a focus on analytics.
- Benefits: Enhanced parental leave, discretionary bonus, and hybrid working model.
- Why this job: Join a dynamic team and shape the future of data-driven decision making.
- Qualifications: Experience with Databricks, Delta Lake, and data visualisation tools like PowerBI.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A technology company in London is looking for a Senior Data Engineer to help deliver customer reporting and analytics. This role offers a hybrid working pattern with 2 days per week from the office.
The ideal candidate will have skills in Databricks, Delta Lake, and data visualization tools like PowerBI.
Responsibilities include:
- Leading technical decisions
- Coding reviews
- Collaborating closely with product teams
Exceptional benefits include enhanced parental leave and a discretionary bonus.
Senior Data Engineer - Hybrid Data Pipelines & Insights employer: Houseful
Contact Detail:
Houseful Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Hybrid Data Pipelines & Insights
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the company you're eyeing. A friendly chat can give us insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Databricks, Delta Lake, and PowerBI. This will not only impress but also demonstrate your hands-on expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on coding challenges and data engineering concepts. We can even set up mock interviews to help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Engineer - Hybrid Data Pipelines & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Delta Lake, and any data visualisation tools like PowerBI. 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 position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: In your application, make sure to mention any specific technical decisions you've led or coding reviews you've conducted. We’re looking for someone who can take charge, so let us know how you’ve done that 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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Houseful
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Delta Lake, and PowerBI. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll be leading technical decisions and coding reviews. Prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to collaborate with product teams and how you’ve influenced positive outcomes.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills. Think about scenarios where you had to troubleshoot data pipeline issues or improve reporting processes. Be ready to walk through your thought process and the steps you took to resolve challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data analytics and how they envision the role evolving. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
