Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join as a Data Engineer to tackle diverse projects using Databricks and other cutting-edge tech.
- Company: Work with a dynamic consultancy partnered with Microsoft and Databricks, specializing in data solutions.
- Benefits: Enjoy flexible working, 25 days annual leave, bonuses, and an annual salary review.
- Why this job: This role offers a chance to enhance your skills while contributing to impactful data solutions.
- Qualifications: Strong experience with Databricks, Python, SQL, and familiarity with Azure or AWS is required.
- Other info: Interviews are happening now—don't miss out on this exciting opportunity!
The predicted salary is between 43200 - 84000 £ per year.
Data Engineer – Databricks – £60,000 – Hybrid
Company Overview:
Our client is a growing data-focused consultancy partnered with both Microsoft and Databricks. They excel in delivering exceptional data solutions to a diverse array of clients. Their expertise includes advanced data analytics, artificial intelligence, and custom finance solutions, ensuring tailored support for each unique business need. Recognising the importance of work-life balance, the company fosters a culture that values employee well-being, significantly boosting morale and productivity. Consequently, the role offers a lot of flexibility when it comes to working patterns.
Role Overview:
The client is looking for a talented Data Engineer to come in as a consultant to work on a large variety of projects across multiple industries. The role will utilise some really interesting tech, with a key focus on the full capabilities of Databricks and additional technologies such as Microsoft Fabric. As a consultant, you will be working directly with clients to understand business needs and implement industry best data solutions accordingly.
Requirements:
- Strong Databricks experience
- Strong Python and SQL Skills
- Azure or AWS experience
Benefits:
- Bonus
- Flexible Working
- 25 Days Annual Leave + Bank Holidays
- Annual Salary Review
- + Much more
This is an unmissable chance to hone your skills and grow your career working for a top Microsoft partner. Interviews are already underway, so don’t miss your chance. Apply Now!
Contact: // 01913386641
#J-18808-Ljbffr
Data Engineer - Databricks - £60,000 employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Databricks - £60,000
✨Tip Number 1
Familiarize yourself with Databricks and its full capabilities. Consider taking online courses or certifications that focus on Databricks to showcase your expertise during the interview.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Practice coding challenges or work on personal projects that utilize these languages to demonstrate your proficiency.
✨Tip Number 3
Gain a solid understanding of Azure or AWS, as experience with these platforms is a requirement. Explore their documentation and try building small projects to get hands-on experience.
✨Tip Number 4
Prepare to discuss your previous consulting experiences and how you've successfully implemented data solutions for clients. Be ready to share specific examples that highlight your problem-solving skills.
We think you need these skills to ace Data Engineer - Databricks - £60,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Databricks experience, Python and SQL skills, as well as any relevant Azure or AWS experience. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to deliver exceptional data solutions and how you can contribute to their consultancy.
Showcase Your Technical Skills: If applicable, include examples of past projects where you utilized Databricks or similar technologies. This could be in the form of a portfolio or detailed descriptions in your CV to illustrate your hands-on experience.
Highlight Soft Skills: Since the role involves working directly with clients, emphasize your communication and interpersonal skills. Mention any experience you have in consulting or client-facing roles to show you can understand and meet business needs effectively.
How to prepare for a job interview at Jefferson Frank
✨Showcase Your Databricks Expertise
Make sure to highlight your experience with Databricks during the interview. Be prepared to discuss specific projects where you've utilized its capabilities, and how you approached challenges using this technology.
✨Demonstrate Your Problem-Solving Skills
As a Data Engineer, you'll be expected to solve complex problems. Prepare examples of how you've tackled data-related issues in the past, particularly in a consulting context, to show your analytical thinking and adaptability.
✨Familiarize Yourself with Client Needs
Since the role involves working directly with clients, research common business needs in various industries. This will help you understand how to tailor data solutions effectively and demonstrate your ability to align with client objectives.
✨Discuss Flexibility and Work-Life Balance
The company values work-life balance, so be ready to talk about how you manage your time and maintain productivity. Share your thoughts on flexible working patterns and how they can enhance your performance as a Data Engineer.
