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For Companies At a Glance
- Tasks: Create stunning dashboards and reports using Power BI and SQL.
- Company: Join a forward-thinking company in the heart of London.
- Benefits: Flexible hybrid work, competitive pay, and a chance to grow your skills.
- Why this job: Be part of exciting data projects that make a real difference.
- Qualifications: Strong Power BI and SQL skills; experience with Databricks is a plus.
- Other info: Short-term contract with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Power BI / SQL Developer – Contract Opportunity Contract Length: 3 months
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
IR35 Status: Outside IR35
Location: Hybrid (London-based)
Start Date: ASAP
Interview Process: One stage
Core Skills Required
Strong expertise in Power BI – dashboarding, reporting, and data visualisation
Advanced SQL skills for querying and data manipulation
Experience with Databricks for scalable data processingDesirable Skills
Familiarity with PySpark for distributed data processing
BI/ Data Developer employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI/ Data Developer
✨Tip Number 1
Get your networking game on! Reach out to folks in the BI and data development space. LinkedIn is a goldmine for connecting with industry professionals who might know about opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and SQL queries. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common BI and SQL interview questions, and be ready to discuss your experience with Databricks and PySpark. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace BI/ Data Developer
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your expertise in Power BI. We want to see examples of your dashboarding, reporting, and data visualisation skills. If you've got a portfolio or any projects that showcase your work, definitely include them!
SQL is Key: Since advanced SQL skills are a must-have, don’t hold back! Share specific examples of how you've used SQL for querying and data manipulation. We love seeing how you tackle data challenges.
Mention Databricks Experience: If you've worked with Databricks, let us know! Talk about your experience with scalable data processing and how it’s helped you in previous roles. This will give us a better idea of your fit for the position.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we love seeing your application come through directly!
How to prepare for a job interview at Opus Recruitment Solutions
✨Master Your Power BI Skills
Make sure you brush up on your Power BI expertise before the interview. Be ready to discuss your experience with dashboarding, reporting, and data visualisation. Prepare examples of projects where you've successfully used Power BI to solve real-world problems.
✨Show Off Your SQL Know-How
Since advanced SQL skills are a must, practice writing complex queries and manipulating data. During the interview, be prepared to explain your thought process when tackling SQL challenges. It’s a great way to showcase your analytical skills!
✨Familiarise Yourself with Databricks
If you have experience with Databricks, make sure to highlight it. If not, take some time to learn the basics and understand how it fits into scalable data processing. Being able to discuss its benefits and your willingness to learn can set you apart.
✨Get Comfortable with PySpark
While familiarity with PySpark is desirable, don’t stress if you’re not an expert. Do some research and understand its role in distributed data processing. Mention any relevant experience or projects, even if they’re not directly related, to show your adaptability and eagerness to learn.
