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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.
The predicted salary is between 48000 - 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 in London 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 in London
✨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 and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. Use GitHub or a personal website to highlight your experience with Python, SQL, and DataOps practices. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in data governance and integration. We love hearing about real-world examples that demonstrate your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our innovative projects.
We think you need these skills to ace Senior Databricks Data Engineer: Pipelines & Cloud 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 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’re considered for the role. Plus, it’s super easy!
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 or optimise a query on the spot. Practising common data manipulation tasks and being able to explain your thought process will help you stand out.
✨Understand DataOps Practices
Familiarise yourself with modern DataOps practices as they are crucial for this role. Be ready to discuss how you’ve implemented these practices in previous roles, focusing on collaboration and automation in data workflows. This shows you’re aligned with the company’s innovative approach.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data governance strategies, team dynamics, and how they measure data quality. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
