At a Glance
- Tasks: Design Power BI models, collaborate on analytics solutions, and mentor junior team members.
- Company: Join TXP, a consultancy focused on innovation and data-driven decision-making.
- Benefits: Enjoy hybrid work options and a culture of continuous learning.
- Other info: Be part of a diverse team committed to driving analytics maturity.
- Why this job: Shape the future of data insights while making a real business impact.
- Qualifications: Expertise in Power BI, DAX, SQL, and understanding of manufacturing processes required.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
Senior Data/Power BI EngineerWest Midlands / HybridPermanent - Full Time
Are you passionate about turning data into powerful insights? TXP is looking for a Senior Data/Power BI Engineer to help our clients unlock the full potential of their data.
In this role, you'll:
- Design and deploy Power BI models and dashboards
- Collaborate with stakeholders to shape intelligent analytics solutions
- Support data warehousing and data pipeline development
- Drive analytics maturity and best practices across client organisations
- Mentor junior team members and lead by example
What you'll bring:
- Expertise in Power BI, DAX, and SQL
- Experience with Microsoft Fabric or similar platforms
- Strong understanding of manufacturing processes and ERP systems
- A passion for data storytelling and business impact
Join a consultancy that values innovation, diversity, and continuous learning. Be part of a team that's shaping the future of data-driven decision-making.
Apply now and help us build smarter, data-powered organisations.
Senior Data/Power BI Engineer in Birmingham employer: TXP
At TXP, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our West Midlands location offers a hybrid work environment, allowing for flexibility while working alongside a diverse team dedicated to continuous learning and professional growth. With opportunities to mentor junior colleagues and lead impactful projects, you'll find meaningful and rewarding employment that empowers you to shape the future of data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data/Power BI Engineer in Birmingham
✨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 TXP!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data/Power BI Engineer at TXP.
✨Leverage Professional Networks
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 TXP.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data/Power BI Engineer at TXP, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data/Power BI Engineer in Birmingham
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 TXP, 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 TXP. 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 TXP
✨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 TXP!
✨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.
