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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 opportunities for growth.
- 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-savvy individuals passionate about data and collaboration.
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 ETL/ELT pipelines and optimising performance will set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with Databricks. Engaging in discussions or attending meetups can provide insights into best practices and current trends that are relevant to our needs.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing examples of challenges you've faced in previous roles and how you overcame them using Databricks. This will highlight your ability to tackle real-world issues effectively.
✨Tip Number 4
Stay updated on cloud technologies, particularly Azure, as it's preferred for this role. Understanding how to build cloud-native solutions will not only enhance your application but also show your commitment to continuous learning.
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 enthusiasm for the role of Data Engineer and explain how your background makes you a perfect fit. Mention specific projects where you've developed ETL/ELT pipelines or collaborated with data scientists, 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. Highlighting your experience with Azure, AWS, or GCP will demonstrate your versatility and relevance to the role.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, 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
Prepare examples of challenges you've faced in data engineering and how you resolved them. This will showcase your strong problem-solving abilities, which are crucial for the role.
✨Familiarise Yourself with Cloud Solutions
Since cloud experience is essential, 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 each platform.
✨Communicate Effectively
Strong communication skills are a must. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with various teams, including data scientists and analysts.
