At a Glance
- Tasks: Empower users by integrating data and resolving queries for better decision-making.
- Company: Hexegic, a leading technical consultancy with exciting projects.
- Benefits: Competitive salary, professional development budget, wellness program, and hybrid working.
- Other info: Great career growth opportunities in a supportive environment.
- Why this job: Join a dynamic team and make a real impact on user experience.
- Qualifications: Background in tech fields with experience in Python, SQL, and APIs.
The predicted salary is between 50000 - 60000 £ per year.
As data support engineer you will empower users across the platform userbase by facilitating the seamless integration of data, enabling applications that drive superior decision-making. Working closely with product engineers and other support engineers, you'll resolve user queries promptly, distilling observed trends into feature requests.
Core Responsibilities
- Serve as technical liaison for data engineers, providing second-line support
- Cultivate a deep understanding of the application to appropriately address user inquiries
- Work with product engineers to diagnose and resolve bugs reported by users
- Contribute to documentation and clarifying complex concepts
What we are looking for
- Background in computer science, engineering, IT or similar technical fields
- Experience in Python and PySpark, as well as SQL and similar tools
- Knowledge of APIs, RESTful services and development best practices
What's in it for you?
- Base salary of £50,000-£60,000
- £5000 a year professional development budget
- Wellness program
- 25 days annual leave
- Hybrid working arrangements
Data Support Engineer in London employer: Hexegic
Hexegic is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Data Support Engineers to thrive. With a strong emphasis on professional development, employees benefit from a generous annual budget for training and wellness initiatives, alongside a flexible hybrid working model that promotes work-life balance. Join us in a dynamic environment where your contributions directly impact high-performing organisations and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Data Support Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, PySpark, and SQL. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data support. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Support Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your background in computer science or engineering, and don’t forget to showcase your experience with Python, PySpark, and SQL!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Support Engineer role and how your skills can empower users across our platform. Keep it engaging and personal!
Showcase Problem-Solving Skills:Since you'll be resolving user queries and diagnosing bugs, include examples of how you've tackled similar challenges in the past. This will show us that you have the right mindset for the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hexegic
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, PySpark, and SQL. Be ready to discuss how you've used these tools in past projects. The more specific examples you can provide, the better!
✨Understand the Role
Familiarise yourself with the responsibilities of a Data Support Engineer. Think about how you would handle user queries and what strategies you might use to diagnose and resolve issues. This will show that you're proactive and ready to jump in.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle certain situations. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and ability to communicate effectively.
✨Show Your Passion for Learning
With a professional development budget on offer, it's important to convey your enthusiasm for continuous learning. Share any recent courses or certifications you've completed, and express your eagerness to grow within the role.
