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- Tasks: Work on Azure/SQL data analytics projects and support clients in understanding their data.
- Company: Join a forward-thinking company focused on innovation and collaboration.
- Benefits: Enjoy a hybrid work model with opportunities for travel and professional growth.
- Why this job: Be part of a team that values mentorship and drives impactful solutions in data analytics.
- Qualifications: Experience with Azure/SQL data analytics and strong communication skills are essential.
- Other info: Contribute to both internal and external communities while advancing your career.
The predicted salary is between 48000 - 84000 £ per year.
We are looking for people who want to grow with us, drive innovation, and mentor others. If you enjoy solving problems, exploring new tech, and working in a collaborative environment—this could be a great fit. You will work on delivering enterprise-level applications focused on data analytics and business intelligence, primarily using Microsoft Azure technologies. This is a client-facing role, so communication skills are important. This is a hybrid role but some travel may be required.
What You’ll Be Doing:
- Work on projects using the Azure/SQL data analytics stack
- Help clients understand and get value from their data
- Support team members and share your knowledge
- Contribute to the company’s internal and external communities
- Clear development pathways
What We’re Looking For:
- Experience building Azure/SQL data analytics solutions
- Comfortable speaking with clients and explaining technical topics
- Experience using Databricks
Senior Data Engineer employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Microsoft Azure and SQL data analytics tools. Consider taking online courses or certifications that focus on these technologies to demonstrate your commitment and expertise.
✨Tip Number 2
Brush up on your communication skills, especially in explaining technical concepts to non-technical clients. Practising mock presentations can help you articulate complex ideas clearly and confidently.
✨Tip Number 3
Network with professionals in the data engineering field, particularly those who work with Azure and Databricks. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of past projects where you successfully tackled challenges using data analytics. Be ready to discuss these experiences during interviews to highlight your practical knowledge.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and SQL data analytics solutions. Include specific projects you've worked on that demonstrate your problem-solving skills and ability to drive innovation.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's goals. Mention your experience in client-facing roles and your communication skills, as these are crucial for this position.
Showcase Your Technical Skills: When detailing your experience, be specific about the technologies you've used, particularly Databricks and any other relevant tools. This will help the hiring team see your technical proficiency at a glance.
Prepare for Interviews: If you get an interview, be ready to discuss your previous projects in detail. Prepare to explain complex technical topics in a way that clients can understand, showcasing your communication skills and ability to mentor others.
How to prepare for a job interview at Velocity Tech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure and SQL data analytics solutions. Bring examples of projects you've worked on, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Communication Skills
Since this is a client-facing role, practice explaining complex technical concepts in simple terms. Think of scenarios where you've successfully communicated with clients or team members to ensure everyone was on the same page.
✨Highlight Problem-Solving Abilities
Prepare to discuss specific problems you've solved in previous roles, especially those related to data analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Emphasise Team Collaboration
This role involves mentoring and supporting team members, so be ready to share examples of how you've collaborated with others. Discuss any experiences where you've contributed to a team’s success or helped someone grow professionally.
