At a Glance
- Tasks: Design and deliver data solutions using Microsoft Fabric for a major transformation programme.
- Company: Join a large organisation leading a significant data transformation project.
- Benefits: Earn up to £520 per day with a hybrid working model and immediate start.
- Other info: Initial 3-month contract with potential for extension and excellent career growth.
- Why this job: Make a real impact by optimising data platforms and mentoring future engineers.
- Qualifications: 7+ years in Data Engineering with strong Microsoft Fabric and Azure expertise.
Location: North East England (1 day onsite every fortnight)
Rate: Up to £520 per day
Contract: Initial 3-month contract (Likely to extend)
Clearance: BPSS Clearance Required
Start: Immediate Start
We are working with a large organisation undergoing a significant data transformation programme and are looking for an experienced Senior Data Engineer to help build and optimise a modern data platform powered by Microsoft Fabric. This is an excellent opportunity to join a high-impact project where you'll combine hands‑on engineering with technical leadership to unlock valuable operational insights from enterprise data.
Key Responsibilities
- Design and deliver data integration, transformation and visualisation solutions using Microsoft Fabric.
- Build and optimise Bronze, Silver and Gold data pipelines.
- Integrate CRM, contact centre and other line‑of‑business applications into modern data platforms.
- Develop and optimise Lakehouse architectures and semantic models.
- Create intuitive Power BI dashboards and reporting solutions.
- Implement data quality, governance and matching processes.
- Contribute to engineering standards, documentation and best practices.
- Provide technical leadership and mentor less experienced team members.
- Collaborate with technical and non‑technical stakeholders to deliver business value.
Essential Skills & Experience
- 7+ years’ experience in Data Engineering
- Strong hands‑on Microsoft Fabric expertise
- Deep Azure data engineering experience
- Exposure to AWS and cross‑cloud integrations
- Experience integrating enterprise applications, CRM platforms and contact centre solutions
- Strong Power BI and data modelling capabilities
- Experience building and optimising scalable data pipelines
- Strong understanding of data quality and governance practices
- Experience mentoring engineers and providing technical leadership
- Excellent communication and stakeholder management skills
What's on Offer?
- Up to £520 per day
- Initial 3‑month contract
- Hybrid working model
- Opportunity to work on a major data transformation programme
- Immediate start available
Senior Data Engineer (Microsoft Fabric) employer: Futureheads
As a Senior Scala Developer with us, you'll be part of a dynamic team dedicated to delivering impactful solutions for the public sector. We pride ourselves on fostering a collaborative work culture that values technical leadership and innovative problem-solving, offering you the chance to grow your skills while working on meaningful projects. With flexible remote working options and opportunities for long-term engagement, we ensure that our employees are supported in their professional development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Microsoft Fabric)
✨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 Senior Data Engineer (Microsoft Fabric)
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Senior Data Engineer (Microsoft Fabric) at Futureheads, 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 Futureheads.
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 Futureheads
✨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!
