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- Tasks: Lead the design and development of data pipelines using Databricks.
- Company: Reputable freelance data company with exciting projects.
- Benefits: Short-term contract with immediate start and competitive pay.
- Why this job: Work with cutting-edge cloud platforms and enhance your DataOps skills.
- Qualifications: Proven experience in Databricks, Python, and SQL required.
- Other info: Opportunity to integrate data from various sources and ensure quality.
The predicted salary is between 36000 - 60000 £ per year.
A reputable freelance data company is seeking a DataBricks Specialist for a short-term contract with an immediate start. The ideal candidate will have proven experience in building data pipelines using Databricks, alongside strong programming skills in Python and SQL.
Responsibilities include:
- Leading the design and development of data pipelines
- Integrating data from various sources
- Ensuring data quality and governance through modern DataOps practices
This role offers the opportunity to work with cloud platforms like AWS, Azure, or GCP.
Databricks Data Engineer: Pipelines, DataOps & Cloud in London employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer: Pipelines, DataOps & Cloud in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. Sometimes, a friendly nudge is all it takes to land that perfect gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects using Databricks. This will give potential clients a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Stay updated with the latest trends in DataOps and cloud platforms. Join online forums or attend webinars to keep your knowledge fresh. This not only boosts your confidence but also makes you more appealing to employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Don’t miss out on the chance to work with top-notch companies and showcase your expertise in Python, SQL, and Databricks.
We think you need these skills to ace Databricks Data Engineer: Pipelines, DataOps & Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data pipelines. We want to see your programming skills in Python and SQL shine through, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us why you’re the perfect fit for this role. Share specific examples of your past work with DataOps and cloud platforms like AWS, Azure, or GCP to grab our attention.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse into how you tackle challenges in data quality and governance. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your previous projects where you've built data pipelines, and be prepared to explain the architecture and design choices you made.
✨Show Off Your Python and SQL Skills
Since strong programming skills in Python and SQL are crucial for this role, practice coding challenges or review your past work. You might be asked to solve a problem on the spot, so being comfortable with these languages will give you an edge.
✨Understand DataOps Principles
Familiarise yourself with modern DataOps practices. Be ready to discuss how you've ensured data quality and governance in your previous roles, as this will demonstrate your understanding of the responsibilities that come with the position.
✨Cloud Platform Knowledge is Key
Since the role involves working with cloud platforms like AWS, Azure, or GCP, make sure you know the basics of at least one of these. Highlight any relevant experience you have, and be prepared to discuss how you would leverage these platforms in your data engineering tasks.
