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- Tasks: Design and develop robust data pipelines using Databricks.
- Company: Leading data solutions company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a collaborative team and make an impact in the data engineering field.
- Qualifications: Proven experience with Databricks, strong Python and SQL skills required.
- Other info: Dynamic work environment with a focus on DataOps practices.
The predicted salary is between 43200 - 72000 £ per year.
A leading data solutions company in the United Kingdom is looking for a Senior Data Engineer to design and develop robust data pipelines. You will be responsible for integrating data from various sources and ensuring the quality, reliability, and security of the ingested data.
The ideal candidate should have proven experience with Databricks, strong Python and SQL skills, and familiarity with modern DataOps practices. This role emphasizes collaboration and innovation within the organization.
Senior Databricks in England employer: Ciandt
Contact Detail:
Ciandt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects using Databricks, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on DataOps practices. Be ready to discuss how you've implemented these in past roles. We want to see your collaborative spirit and innovative ideas shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Senior Databricks in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and SQL. 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 passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Your DataOps Knowledge: Since this role emphasises modern DataOps practices, make sure to mention any relevant experience or knowledge you have in this area. We’re keen on candidates who can bring innovative ideas to the table!
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 from our team!
How to prepare for a job interview at Ciandt
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your past projects, how you've used Databricks to solve problems, and any challenges you've faced. This will show that you're not just familiar with the tool but can also leverage it effectively.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your coding skills in Python and SQL. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising common data manipulation tasks and queries can give you the edge you need.
✨Emphasise Data Quality and Security
Since the role focuses on ensuring data quality and security, be ready to discuss your approach to these aspects. Share examples of how you've implemented best practices in your previous roles, and be prepared to talk about any tools or frameworks you've used.
✨Collaboration is Key
This position values collaboration, so think of examples where you've worked effectively in a team. Be ready to discuss how you communicate with stakeholders and how you handle feedback. Showing that you can innovate while working with others will make you stand out.
