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- Tasks: Design and develop robust data pipelines while ensuring data quality and security.
- 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 dynamic team and make an impact in the data engineering field.
- Qualifications: Experience with Databricks, strong Python and SQL skills, and DataOps familiarity.
- Other info: Collaborative environment that encourages creativity and innovation.
The predicted salary is between 48000 - 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 & Data Pipeline Lead in London employer: Ciandt
Contact Detail:
Ciandt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks & Data Pipeline Lead in 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 might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. Use GitHub or a personal website to highlight your Python and SQL prowess. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the technical interview! Brush up on your DataOps practices and be ready to discuss how you've ensured data quality and security in past projects. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Databricks & Data Pipeline Lead in London
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 involves 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 how you've used these languages in your previous roles. Practising common data manipulation tasks can help you feel more confident during this part of the interview.
✨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 data validation checks or security measures in your previous projects. This will highlight your attention to detail and commitment to best practices.
✨Collaboration is Key
This position values collaboration, so be prepared to talk about how you've worked with cross-functional teams in the past. Share specific examples of successful collaborations and how they led to innovative solutions. This will demonstrate that you can thrive in a team-oriented environment.
