At a Glance
- Tasks: Design and optimise data architecture using Microsoft Fabric and Salesforce data.
- Company: Leading organisation expanding their modern data platform.
- Benefits: Competitive pay, remote work, and opportunities for professional growth.
- Other info: Ideal for those looking to enhance their skills in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact with advanced data solutions.
- Qualifications: Experience as a Data Engineer with Microsoft Fabric and Salesforce integration.
The predicted salary is between 50000 - 50000 £ per year.
We are supporting a leading organisation on the expansion of their modern data platform and are looking for a Fabric Data Engineer to play a key role in designing, building, and optimising their data architecture.
This role will focus on leveraging the Microsoft Fabric ecosystem alongside Salesforce data, delivering high-quality, scalable data solutions that enable advanced analytics and reporting across the business.
Key Responsibilities
- Design, build, and maintain data pipelines within Microsoft Fabric
- Integrate and transform Salesforce data into a unified data platform.
- Develop and optimise ETL/ELT processes for performance and scalability.
- Implement data modelling best practices (star schema, dimensional modelling).
- Collaborate with stakeholders to translate business requirements into technical solutions.
Key Requirements
- Proven experience as a Data Engineer working with Microsoft Fabric
- Strong experience integrating Salesforce
- Solid background across the Azure tech stack
- Experience building scalable data pipelines and architectures
- Experience working in the Utilities sector is a nice to have
If this is a role that suits your skillset and you are available at short notice then please apply for the job role directly or send me your most recent and up to date CV.
Fabric Data Engineer employer: Opus Recruitment Solutions
Join a forward-thinking organisation that prioritises innovation and employee development, offering a dynamic remote work environment for the Fabric Data Engineer role. With competitive compensation and a strong focus on collaboration, you'll have the opportunity to enhance your skills while contributing to cutting-edge data solutions that drive business success. Embrace a culture that values creativity and growth, making it an ideal place for professionals seeking meaningful and rewarding employment.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Fabric Data 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.
✨Get Involved in Data Science Communities
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
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Fabric Data Engineer
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Fabric Data Engineer at Opus Recruitment Solutions, 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 Opus Recruitment Solutions.
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 Opus Recruitment Solutions
✨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!
