At a Glance
- Tasks: Design and manage cloud-based data services to optimise business operations.
- Company: Tax.com, a leader in online services for businesses.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of electronic reporting.
- Qualifications: 3+ years in cloud services and backend development with Python or similar languages.
- Other info: Exciting projects in a fast-paced environment with great career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Qualifications
- 3+ years of experience with cloud-based data services, preferably in AWS or Azure.
- 3+ years of experience developing Python, Scala, Java, .Net, or similar solutions in a backend or data wrangling capacity.
- 3+ years of experience in mixed Windows/Linux environments.
Taxcom provides online services for businesses, specializing in electronic reporting, obtaining digital signatures, selling 1C software, transitioning to electronic document management, and connecting to fiscal data operators.
108 E 16th Street, New York, NY 10003
#J-18808-Ljbffr
Data Engineer in Manchester - Tax.com employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester - Tax.com
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Tax.com. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Python, Scala, or any relevant tech. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Ace the interview by practising common data engineering questions. Brush up on cloud services, data wrangling techniques, and be ready to discuss your experience with mixed environments. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Tax.com.
We think you need these skills to ace Data Engineer in Manchester - Tax.com
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 3+ years of experience with cloud-based data services, especially if you've worked with AWS or Azure. We want to see how your background aligns with what we do at Tax.com!
Code Like a Pro: When detailing your programming skills, focus on your experience with Python, Scala, Java, or .Net. We love seeing examples of your backend or data wrangling work, so don’t hold back!
Environment Matters: Mention your familiarity with mixed Windows/Linux environments. It’s important for us to know you can navigate both, as it’s part of our daily grind here at Tax.com.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to get your application and ensures you’re considered for the Data Engineer role in Manchester!
How to prepare for a job interview at WorksHub
✨Know Your Tech Stack
Make sure you’re well-versed in the cloud-based data services mentioned in the job description, especially AWS or Azure. Brush up on your Python, Scala, Java, or .Net skills, as you'll likely be asked to demonstrate your knowledge in these areas during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in backend development and data wrangling. Be ready to discuss how you've tackled challenges in mixed Windows/Linux environments, as this will show your adaptability and problem-solving skills.
✨Understand Taxcom's Services
Familiarise yourself with what Tax.com does, especially their focus on electronic reporting and document management. This will not only help you answer questions more effectively but also allow you to ask insightful questions that demonstrate your interest in the company.
✨Practice Problem-Solving
Expect technical questions or case studies that require you to think on your feet. Practising common data engineering problems can help you feel more confident and prepared to tackle any scenario they throw your way.