At a Glance
- Tasks: Design data pipelines and develop impactful Power BI reports.
- Company: Join Selco Builders Warehouse, a leader in the building supply industry.
- Benefits: Competitive salary, career growth opportunities, and a supportive team environment.
- Other info: Dynamic role with opportunities for professional development across the Selco network.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: 3+ years of SQL experience and strong BI skills required.
The predicted salary is between 42750 - 52250 £ per year.
Selco Builders Warehouse is seeking an experienced Business Intelligence Data Engineer & Report Writer.
You will design end-to-end data pipelines, develop robust Power BI reports, and manage Microsoft Fabric tenant configurations.
This dual‑function role requires 3+ years of SQL and strong BI skills, acting as the bridge between backend data architectures and front-end insights.
Join a team focused on delivering impactful insights, with opportunities for career growth across the Selco network
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Senior BI Engineer: Power BI, SQL & Fabric employer: Selco Builders Warehouse
At Selco Builders Warehouse, we pride ourselves on being an excellent employer that values our team members and fosters a positive work culture. With a strong focus on employee growth through apprenticeships and career development opportunities, we ensure that our colleagues are supported both personally and professionally. Located in a fast-paced environment, we offer a comprehensive benefits package that includes work-life balance initiatives, health and wellbeing support, and financial incentives, making Selco a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior BI Engineer: Power BI, SQL & Fabric
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Selco Builders Warehouse!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Selco Builders Warehouse.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior BI Engineer: Power BI, SQL & Fabric
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Selco Builders Warehouse, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Selco Builders Warehouse. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Selco Builders Warehouse
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Selco Builders Warehouse!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
