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- Tasks: Lead the design and development of robust data pipelines using Databricks.
- Company: Join a forward-thinking tech company in London.
- Benefits: Short-term contract with immediate start and competitive pay.
- Why this job: Make an impact by working on cutting-edge data projects.
- Qualifications: Experience with Databricks, Python, SQL, and cloud platforms required.
- Other info: Dynamic role with opportunities to enhance your data engineering skills.
The predicted salary is between 36000 - 60000 £ per year.
This role is a DataBricks Specialist on a short-term contract with an immediate start. Key skills include Databricks, Python, SQL, and DataOps practices. Experience with ETL/ELT frameworks and cloud platforms (AWS, Azure, GCP) is required.
Location: United Kingdom (London, England, United Kingdom)
Start: Immediate
Responsibilities
- Lead design and development of robust data pipelines.
- Integrate data from diverse sources (APIs, relational databases, files, etc.).
- Collaborate with business and analytics teams to understand data requirements.
- Ensure quality, reliability, security and governance of the ingested data.
- Follow modern DataOps practices such as code versioning, data tests, and CI/CD.
- Document processes and best practices in data engineering.
Required Skills and Qualifications
- Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL).
- Strong programming skills in Python and SQL for data processing and transformation.
- Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing.
- Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, infrastructure-as-code.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services.
- Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues.
- Proficiency in Git.
DataBricks Specialist - Short Term Contract 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 Specialist - Short Term Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or similar technologies. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Python, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on DataOps practices and cloud platforms. Be ready to discuss your experience with ETL/ELT frameworks and how you've tackled data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace DataBricks Specialist - Short Term Contract 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 match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your experience with ETL/ELT frameworks and cloud platforms, and how you can contribute to our DataOps practices.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled performance or scalability issues in the past. We love seeing candidates who can think critically and troubleshoot effectively!
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 us!
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 experience with PySpark, Delta Lake, and how you've built data pipelines in the past. Having specific examples at hand will show that you really know your stuff.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your programming prowess in Python and SQL. You might be asked to solve a problem or explain how you would approach a data transformation task. Practising coding challenges related to data processing can give you a leg up.
✨Familiarise Yourself with DataOps Practices
Since this role emphasises modern DataOps practices, make sure you understand concepts like CI/CD, version control with Git, and automated testing. Be ready to discuss how you've implemented these in your previous roles and how they improved your workflow.
✨Research the Company and Its Data Needs
Take some time to research the company and its data requirements. Understanding their business model and how they use data can help you tailor your answers and show that you're genuinely interested in contributing to their success.
