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For Companies At a Glance
- Tasks: Design and optimise data pipelines using Databricks for diverse clients.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy flexible work options, competitive pay, and a collaborative culture.
- Why this job: Be part of a dynamic team making impactful data-driven decisions.
- Qualifications: 5+ years in data engineering with strong Databricks and cloud experience required.
- Other info: Ideal for tech enthusiasts eager to innovate in data management.
The predicted salary is between 43200 - 72000 £ per year.
About the Role
We’re looking for a Databricks Champion to design, build, and optimize data pipelines using Databricks. You’ll work with clients and internal teams to deliver scalable, efficient data solutions tailored to business needs.
Key Responsibilities
- Develop ETL/ELT pipelines with Databricks and Delta Lake
- Integrate and process data from diverse sources
- Collaborate with data scientists, architects, and analysts
- Optimize performance and manage Databricks clusters
- Build cloud-native solutions (Azure preferred, AWS/GCP also welcome)
- Implement data governance and quality best practices
- Automate workflows and maintain CI/CD pipelines
- Document architecture and processes
What We’re Looking For
Required:
- 5+ years in data engineering with hands-on Databricks experience
- Proficient in Databricks, Delta Lake, Spark, Python, SQL
- Cloud experience (Azure preferred, AWS/GCP a plus)
- Strong problem-solving and communication skills
- Databricks Champion
Data Engineer (Databricks Champion) employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Databricks Champion)
✨Tip Number 1
Familiarise yourself with Databricks and its features. Since we’re looking for a Databricks Champion, showcasing your expertise in building and optimising data pipelines using Databricks will set you apart from other candidates.
✨Tip Number 2
Network with current Data Engineers or professionals who have experience with Databricks. Engaging in conversations about their challenges and solutions can provide you with valuable insights and potentially useful connections.
✨Tip Number 3
Stay updated on the latest trends and best practices in data engineering, especially regarding ETL/ELT processes and cloud-native solutions. This knowledge will not only enhance your skills but also demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss specific projects where you've successfully implemented data governance and quality best practices. Being able to share real-world examples will highlight your problem-solving abilities and practical experience.
We think you need these skills to ace Data Engineer (Databricks Champion)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience in data engineering, specifically focusing on your hands-on experience with Databricks, Delta Lake, and Spark. Use keywords from the job description to align your skills with what they are looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and detail your experience with building ETL/ELT pipelines. Mention specific projects where you collaborated with data scientists or optimised performance, showcasing your problem-solving skills.
Showcase Relevant Projects: If you have worked on any cloud-native solutions or automated workflows, be sure to include these in your application. Highlight your familiarity with Azure, AWS, or GCP, and how these experiences make you a strong candidate for the role.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any grammatical errors or typos, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at TechYard
✨Showcase Your Databricks Expertise
Make sure to highlight your hands-on experience with Databricks during the interview. Be prepared to discuss specific projects where you developed ETL/ELT pipelines and how you optimised them for performance.
✨Demonstrate Your Problem-Solving Skills
Expect to face technical questions that assess your problem-solving abilities. Prepare examples of challenges you've encountered in data engineering and how you resolved them, particularly in relation to Databricks and Delta Lake.
✨Familiarise Yourself with Cloud Solutions
Since cloud experience is crucial, brush up on your knowledge of Azure, AWS, and GCP. Be ready to discuss how you've built cloud-native solutions and the benefits of using these platforms in your previous roles.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with various teams, including data scientists and analysts.
