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- Tasks: Lead the design and development of data pipelines using Databricks.
- Company: A leading software company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Drive data quality and security while collaborating with dynamic teams.
- Qualifications: Proven experience in Databricks, Python, SQL, and DataOps practices.
- Other info: Join a collaborative environment that values your contributions and ideas.
The predicted salary is between 43200 - 72000 £ per year.
A leading software company in the UK is seeking a Senior Data Engineer to lead the design and development of data pipelines. You will integrate diverse data sources, ensure high-quality data governance, and work closely with business and analytics teams.
Proven experience in Databricks, strong skills in Python and SQL, and familiarity with modern DataOps practices are essential. This role supports innovation and collaboration within the organization, driving data quality and security.
Senior Databricks Data Engineer: Pipelines & Cloud employer: CI&T Software S.A.
Contact Detail:
CI&T Software S.A. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Data Engineer: Pipelines & Cloud
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Databricks or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects using 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 data governance and quality in past projects. We want to see your thought process and how you tackle challenges!
✨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 Data Engineer: Pipelines & Cloud
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 familiarity with modern DataOps practices is key, make sure to mention any relevant experience or tools you’ve used. We’re keen on candidates who can drive innovation and collaboration in our data processes.
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 CI&T Software S.A.
✨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 build data pipelines, 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 help you feel more confident during this part of the interview.
✨Understand DataOps Practices
Familiarise yourself with modern DataOps practices as they are crucial for this role. Be prepared to discuss how you’ve implemented these practices in your previous roles and how they can improve collaboration and data quality within teams. This shows that you’re aligned with the company’s goals.
✨Emphasise Collaboration and Innovation
Since this role involves working closely with business and analytics teams, highlight your experience in collaborative projects. Share examples of how you’ve driven innovation and improved data governance in your past roles. This will demonstrate that you’re not just a technical expert but also a team player.
