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- Tasks: Design and maintain scalable data pipelines on a modern Databricks Lakehouse platform.
- Company: A growing data-centric organisation in London with a collaborative culture.
- Benefits: Flexible work, autonomy, and opportunities for career growth.
- Why this job: Join a mission-driven team and impact the organisation's data strategy.
- Qualifications: Expertise in Databricks, Python, and SQL required.
- Other info: Mentor junior engineers and thrive in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A growing data-centric organization in London is seeking a Senior Data Engineer to design and maintain scalable data pipelines on a modern Databricks Lakehouse platform. The ideal candidate will have expertise in Databricks, Python, and SQL. This role offers true flexibility, autonomy, and opportunities for career growth. Join a mission-driven team that values collaborative culture and personal development, mentoring junior engineers while impacting the organization's data strategy.
Senior Data Engineer - Databricks Lakehouse Lead (London) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Databricks Lakehouse Lead (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work with Databricks. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Python, and SQL. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd tackle real-world problems using Databricks and be ready to share your thought process during the interview.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission-driven team. Plus, it makes it easier for us to keep track of your application!
We think you need these skills to ace Senior Data Engineer - Databricks Lakehouse Lead (London)
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your expertise in Databricks, Python, and SQL. We want to see how your skills align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences relate to designing and maintaining scalable data pipelines. We love seeing candidates who take the time to connect their background to what we do!
Be Yourself: We value authenticity, so let your personality shine through in your application. Share your passion for data engineering and how you envision contributing to our collaborative culture. We’re looking for someone who fits in with our mission-driven team!
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. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Harnham
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss how you've used it in past projects, and think of specific examples where you've designed or maintained data pipelines. This will show that you're not just familiar with the platform, but that you can leverage it effectively.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your expertise in Python and SQL during the interview. You might be asked to solve a problem or write a query on the spot, so practice common scenarios beforehand. Being able to articulate your thought process while coding will impress the interviewers.
✨Emphasise Collaboration and Mentoring
Since this role involves mentoring junior engineers, be ready to share your experiences in team settings. Talk about how you've collaborated with others and helped them grow. Highlighting your ability to foster a collaborative culture will resonate well with the organisation's values.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it opens up a dialogue that can make you more memorable to the interviewers.
