At a Glance
- Tasks: Create impactful data-driven reports using Power BI and Snowflake.
- Company: Leading consultancy in financial services with a focus on innovation.
- Benefits: Earn up to £575 per day, enjoy hybrid working, and potential contract extensions.
- Other info: Immediate start available; great opportunity for career growth.
- Why this job: Join a high-profile project and enhance your skills in a dynamic environment.
- Qualifications: Hands-on experience with Power BI and Snowflake is essential.
The predicted salary is between 46000 - 69000 £ per year.
I’m supporting a leading consultancy on a major Credit Risk transformation programme with a financial services client, looking for a Power BI Engineer with strong Snowflake cloud platform experience to deliver high-quality, data-driven reporting solutions.
What we’re looking for:
- Strong hands-on experience with Power BI (dashboards, DAX, Power Query, data modelling)
- Proven experience working with the Snowflake cloud platform
- Experience integrating Power BI with Snowflake as a primary data source
- Strong understanding of semantic models, analytics layers, and large datasets
- Experience implementing data governance and security (e.g., Row-Level Security)
- Ability to optimise performance across reports, models, and refresh strategies
- Confident working with both technical teams and business stakeholders
- Experience within financial services or risk reporting (desirable)
What’s in it for you?
- Up to £575 per day (Inside IR35)
- 6-month initial contract with strong extension potential
- Hybrid working – 3 days onsite in London
- Opportunity to work on a high-profile Snowflake platform engagement
- Immediate start available
To hear more about this Power BI Engineer (Snowflake) role, contact Daire McIlhatton at Anson McCade.
Microsoft Power Engineer employer: ANSON MCCADE
Join a leading consultancy that values innovation and collaboration, offering a dynamic work culture where your expertise as a Power BI Engineer will directly contribute to transformative projects in the financial services sector. With competitive pay of up to £575 per day and the flexibility of hybrid working in London, you'll have the opportunity to enhance your skills while working on high-profile engagements with a focus on data-driven solutions. The company fosters employee growth through exposure to cutting-edge technologies like Snowflake, ensuring you remain at the forefront of industry advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Microsoft Power Engineer
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
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Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
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We think you need these skills to ace Microsoft Power Engineer
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Microsoft Power Engineer at ANSON MCCADE, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at ANSON MCCADE.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at ANSON MCCADE
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
