At a Glance
- Tasks: Support users by integrating data and resolving queries for better decision-making.
- Company: Join Hexegic, a top technical consultancy with exciting projects and career growth.
- Benefits: Enjoy a competitive salary, professional development budget, wellness programme, and hybrid work options.
- Why this job: Be part of a dynamic team that values innovation and user empowerment in tech.
- Qualifications: Ideal candidates have a background in tech and experience with Python, SQL, and APIs.
- Other info: Work closely with product engineers to enhance user experience and contribute to documentation.
The predicted salary is between 40000 - 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 employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Support Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, PySpark, and SQL. Being able to demonstrate your proficiency in these areas during interviews will set you apart from other candidates.
✨Tip Number 2
Research Hexegic and their projects to understand their approach to data support and technical consultancy. This knowledge will help you tailor your responses in interviews and show that you're genuinely interested in the company and its mission.
✨Tip Number 3
Prepare examples of how you've resolved user queries or bugs in previous roles. Highlighting your problem-solving skills and ability to work collaboratively with product engineers will demonstrate your fit for the role.
✨Tip Number 4
Engage with the data engineering community online, whether through forums, LinkedIn, or relevant groups. Networking can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Support Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Support Engineer. Familiarise yourself with the skills required, such as Python, SQL, and knowledge of APIs, to tailor your application accordingly.
Tailor Your CV: Highlight relevant experience in your CV that aligns with the job description. Emphasise your technical skills, particularly in Python, PySpark, and SQL, and any previous roles where you provided support or resolved user queries.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention specific examples of how you've successfully resolved user issues or contributed to documentation in past positions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a technical role.
How to prepare for a job interview at Hexegic
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, PySpark, and SQL during the interview. Be prepared to discuss specific projects where you used these tools, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand the Company and Its Products
Research Hexegic and their offerings before the interview. Understanding their approach to technical consultancy and the types of projects they handle will help you tailor your responses and show genuine interest in the company.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to diagnosing bugs or resolving user queries. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to work under pressure.
✨Demonstrate Your Communication Skills
As a Data Support Engineer, you'll need to communicate complex concepts effectively. During the interview, focus on how you explain technical information in a way that's easy to understand, as this will be crucial for collaborating with both users and product engineers.