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- Tasks: Lead OLAP and Semantic Modelling, building analytical models and data pipelines.
- Company: Tech-driven organisation in the UK with a focus on innovation.
- Benefits: Competitive daily rates and hands-on experience with cutting-edge tools.
- Why this job: Make a real impact by shaping data structures for critical business reporting.
- Qualifications: Experience in data engineering, SSAS, Power BI, and AWS infrastructure.
- Other info: Contract position with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A technology-driven organisation in the UK is seeking a Senior Data Engineer to lead OLAP and Semantic Modelling efforts. This hands-on role involves building analytical models and high-performance data pipelines, requiring deep expertise with SSAS, Power BI, and AWS infrastructure.
Ideal candidates will have substantial experience in data engineering, focused on creating robust data structures that support business-critical reporting. This is a contract position with competitive daily rates.
OLAP Data Engineer - Semantic Modelling & Power BI employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land OLAP Data Engineer - Semantic Modelling & Power BI
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with OLAP and Power BI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with SSAS and AWS. Having tangible examples of your expertise can really set you apart during interviews and discussions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of semantic modelling and data pipelines. We recommend practising common interview questions and even doing mock interviews with friends or colleagues.
✨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 are proactive and engaged in their job search.
We think you need these skills to ace OLAP Data Engineer - Semantic Modelling & Power BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with OLAP, Semantic Modelling, and tools like SSAS and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you the perfect fit for this role. Let us know what excites you about working with us at StudySmarter.
Showcase Your Technical Skills: Since this role is hands-on, make sure to detail your technical expertise in building analytical models and data pipelines. We love seeing specific examples of how you've tackled challenges in previous roles, especially with AWS infrastructure.
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. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Oscar
✨Know Your Tools Inside Out
Make sure you’re well-versed in SSAS, Power BI, and AWS infrastructure. Brush up on your technical skills and be ready to discuss specific projects where you've used these tools. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in data engineering and how you overcame them. Think of examples where you built analytical models or optimised data pipelines. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer supports business-critical reporting. Research the company’s goals and think about how your role can contribute to their success. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
