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- Tasks: Support the development of SharePoint and Microsoft 365 applications while enhancing data workflows.
- Company: Dynamic tech company based in Birmingham with a focus on innovation.
- Benefits: Competitive salary, full-time entry-level role, and opportunities for growth.
- Other info: Exciting opportunity to work in a collaborative environment with career advancement potential.
- Why this job: Join a team where your skills in data solutions can shine and make a difference.
- Qualifications: Proficiency in advanced Excel, DAX, Power BI, and Python required.
The predicted salary is between 28000 - 31000 £ per year.
A tech company in Birmingham is seeking a Data Solutions Engineer to support the development of SharePoint and Microsoft 365 applications.
Responsibilities include maintaining the SharePoint infrastructure and collaborating with teams to enhance data workflows.
Ideal candidates will have proficiency in advanced Excel and experience using DAX, Power BI, and Python.
This is a full-time entry-level role, offering a competitive salary between £28,000 - £31,000.
Data Solutions Engineer: SharePoint & BI Workflows in Birmingham employer: INRIX
Contact Detail:
INRIX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Engineer: SharePoint & BI Workflows in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with SharePoint, Power BI, and any cool projects you've done with Python. This will give you an edge and make you memorable.
✨Tip Number 3
Prepare for interviews by practising common questions related to data workflows and SharePoint. 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 seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Solutions Engineer: SharePoint & BI Workflows in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SharePoint, Excel, DAX, Power BI, and Python. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Solutions Engineer role and how your background makes you a great fit. We love seeing genuine enthusiasm for the position.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data workflows or SharePoint projects. We’re looking for candidates who can think critically and come up with innovative solutions!
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 our team!
How to prepare for a job interview at INRIX
✨Know Your Tech
Make sure you brush up on your knowledge of SharePoint, Microsoft 365, and the tools mentioned in the job description. Be ready to discuss how you've used advanced Excel, DAX, Power BI, and Python in past projects or coursework.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data workflow challenges. Think about times when you improved a process or solved a problem using your technical skills, as this will demonstrate your ability to contribute to the team.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to data solutions and how they envision the role evolving. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or use online resources to practice common interview questions related to data engineering. The more comfortable you are speaking about your skills and experiences, the more confident you'll feel during the actual interview.