At a Glance
- Tasks: Empower users by integrating data and resolving queries for superior decision-making.
- Company: Join a forward-thinking tech company focused on user support and innovation.
- Benefits: Competitive salary, professional development budget, and a collaborative work environment.
- Other info: Dynamic role with opportunities for growth and skill enhancement.
- Why this job: Make a real impact by enhancing user experience and driving product improvements.
- 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
Data Support Engineer employer: Hexegic
Join a dynamic and innovative team as a Data Support Engineer, where you will play a crucial role in empowering users through seamless data integration. Our collaborative work culture fosters professional growth, offering a generous £5,000 annual development budget to enhance your skills. Located in a vibrant area, we provide an engaging environment that values creativity and teamwork, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Support Engineer
✨Tip Number 1
Network like a pro! Reach out to current data support engineers or professionals in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with Python, PySpark, and SQL. This hands-on demonstration can really set us apart during interviews.
✨Tip Number 3
Be ready to solve problems on the spot! Brush up on common technical issues related to data integration and be prepared to discuss how you would tackle them. It shows we’re proactive and ready for the role.
✨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 take that extra step to connect directly with us.
We think you need these skills to ace Data Support Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Python, PySpark, and SQL. We want to see how your background in computer science or IT aligns with the role of a Data Support Engineer.
Showcase Your Problem-Solving Skills:In your application, share examples of how you've resolved user queries or bugs in the past. We love seeing how you can empower users and improve decision-making through your technical skills.
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure you communicate your passion for data support and your understanding of APIs and RESTful services.
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 get to know you better. Plus, it shows you're keen on joining our team!
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 User's Perspective
As a Data Support Engineer, you'll be helping users with their queries. Think about common issues users might face and how you would resolve them. This will show that you can empathise with users and understand their needs.
✨Familiarise Yourself with APIs and RESTful Services
Since you'll be working closely with data engineers, it's crucial to have a solid grasp of APIs and RESTful services. Prepare to explain how you've interacted with these technologies in previous roles or projects.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the tools they use, and how they handle feature requests. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
