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- Tasks: Join our data team as a Data Engineer, working with Databricks, SQL, and Python.
- Company: Be part of a well-established organisation partnered with Databricks and Microsoft.
- Benefits: Enjoy flexible working, bonuses, and 25 days annual leave plus bank holidays.
- Why this job: Work on diverse projects, develop professionally, and collaborate with top-level data engineers.
- Qualifications: Strong experience in Databricks, Python, SQL, and familiarity with Azure or AWS required.
- Other info: Hybrid working model with client site visits 2-3 times a month.
The predicted salary is between 43200 - 84000 £ per year.
I am looking for a data engineer who has experience in Databricks, Azure, SQL, Python and Spark to join a well-established organisation who are currently expanding their data team.
Our client is partnered with both Databricks and Microsoft and they deliver data solutions for a diverse range of clients. They operate with a hybrid working model, where employees are expected to go to the client site when required on a basis of 2-3 times a month. Our client has been growing massively, meaning this is a great opportunity to develop professionally and work with top level data engineers.
You will be working directly with clients and work on a variety of different projects in an array of industries.
Requirements:
- Strong Databricks experience as well as Python and SQL
- Azure or AWS experience
Benefits:
- Bonus
- Flexible working
- Annual salary review
- 25 days annual leave and bank holidays
- And more!
Data Engineer - Databricks employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Databricks
✨Tip Number 1
Familiarise yourself with Databricks and its ecosystem. Make sure you can confidently discuss your experience with Databricks, Azure, SQL, Python, and Spark during any conversations or interviews. This will show that you're not just a candidate but someone who truly understands the tools they'll be using.
✨Tip Number 2
Network with current employees or professionals in the data engineering field, especially those who work with Databricks. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss real-world projects where you've applied your data engineering skills. Be ready to share specific examples of how you've used Databricks, Python, or SQL to solve problems or improve processes, as this will demonstrate your practical experience.
✨Tip Number 4
Stay updated on the latest trends and updates in data engineering, particularly around Databricks and Azure. Showing that you're proactive about learning and adapting to new technologies can set you apart from other candidates and highlight your commitment to the field.
We think you need these skills to ace Data Engineer - Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, SQL, Python, and Spark. Use specific examples of projects you've worked on that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Engineer position and how your background aligns with the company's needs. Mention your experience working with clients and any relevant projects.
Showcase Relevant Projects: If you have worked on notable projects using Databricks or similar technologies, include them in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Technical Skills
Make sure to highlight your experience with Databricks, Azure, SQL, Python, and Spark during the interview. Prepare specific examples of projects where you successfully utilised these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Clients
Research the types of clients the company works with and the industries they serve. Being able to discuss how your skills can benefit their diverse range of clients will show that you are genuinely interested in the role and understand their business.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data engineering and client interactions.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the types of projects you might work on, and how the company supports professional development. This shows your enthusiasm and commitment to growing within the organisation.
