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For Companies At a Glance
- Tasks: Build and optimise Databricks pipelines while collaborating on innovative data solutions.
- Company: Join a leading IT services company with a focus on cutting-edge technology.
- Benefits: Competitive daily rate, fully remote work, and flexible contract terms.
- Why this job: Make an impact in data engineering with top-tier tools and technologies.
- Qualifications: Strong experience in Databricks and PySpark, plus consultancy background.
- Other info: Exciting opportunity for career growth in a dynamic IT environment.
Location: United Kingdom (Fully remote)
Responsibilities
- Building and optimising Databricks pipelines
- Working with Delta Lake, Spark and CI/CD
- Supporting data migration, integration and transformation work
- Collaborating with architects and project leads to shape solutions
Qualifications
- Strong Databricks and PySpark experience
- Solid understanding of data engineering best practice
- Experience working in consultancy or complex client environments
Additional Details
- Seniority level: Mid-Senior
- Employment type: Contract
- Job function: Information Technology
- Industries: IT Services and IT Consulting
Databricks Engineer employer: TechShack
Contact Detail:
TechShack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info on job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks projects and any cool pipelines you've built. 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 your technical knowledge. Be ready to discuss your experience with Delta Lake, Spark, and CI/CD. We recommend practicing common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities for Databricks Engineers, and applying directly can give you a better chance of landing that contract. Plus, we love seeing familiar faces!
We think you need these skills to ace Databricks Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Databricks and PySpark experience. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back on showcasing 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 in consultancy or complex client environments, and how you can contribute to building and optimising Databricks pipelines.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data migration, integration, or transformation work. We love seeing how you’ve collaborated with others to shape solutions!
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 during the process!
How to prepare for a job interview at TechShack
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and PySpark skills before the interview. Be ready to discuss specific projects where you've built or optimised pipelines, and be prepared to dive into technical details about Delta Lake and Spark.
✨Showcase Your Consultancy Experience
Since the role involves working in complex client environments, highlight any relevant consultancy experience you have. Share examples of how you've collaborated with architects and project leads to shape solutions, as this will demonstrate your ability to work effectively in a team.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in data migration, integration, or transformation work, and be ready to explain how you approached these issues and what the outcomes were.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team's current projects, the tools they use, or their approach to CI/CD. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
