About Us
At Ingentive, we are a Microsoft Elite Partner recognised as one of the Great Places to Work, and proud to hold all seven Microsoft solution designations. As a member of the Microsoft Inner Circle, we rank in the top 1% of partners globally, and were recently named Microsoft’s #2 enterprise partner for driving advanced agentic AI transformations.
We specialise in transforming business systems through AI‑led application development and process optimisation, with a strong focus on both Power Platform, the Dynamics 365 stack for CRM and ERP. Our mission is to help organisations unlock value by combining intelligent agents, natural language interfaces, and low‑code platforms to build scalable, governed solutions that solve real business challenges.
Award‑winning and innovation‑driven, we are at the forefront of the shift from traditional low‑code to intelligent business applications empowering fusion teams to deliver faster, smarter, and more impactful outcomes.
The Role
Are you a data enthusiast with a passion for transforming raw information into meaningful insights? We’re looking for a talented Fabric / Data Consultant with expertise in Azure and Power BI to join our dynamic team. This role is perfect for someone who enjoys working with cutting‑edge technology, developing robust data architectures, and driving strategic business intelligence initiatives. If you’re excited about helping organisations unlock the full potential of their data, we’d love to hear from you.
Essential Expertise :
- Proven experience in data engineering with exposure to Azure Synapse or Azure Data Factory or Databricks.
- Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem.
- Proficiency in Python programming with a focus on data manipulation and engineering.
- A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modelling.
- Strong analytical and problem‑solving skills with a passion for optimising workflows.
- Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment.
- Data modelling experience and understanding of the Kimball methodology
Desirable Expertise :
- DP-600 – Fabric Analytics Engineer Associate
- PL-300 – Power BI Data Analyst Associate
- DP-700 – Fabric Data Engineer Associate
Responsibilities :
- Design, build, and optimise high‑performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric.
- Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organisation.
- Write clean, efficient, and reusable Python code tailored to data engineering tasks.
- Collaborate with data scientists and stakeholders to support machine‑learning initiatives and advanced data modelling.
- Drive innovation by researching and integrating the latest cloud‑based technologies and frameworks.
- Opportunities to learn, cross‑skill in AI and contribute to a culture of learning, excellence, and collaboration.
Teammates’ benefits :
- Bonus Schemes
- Life Assurance
- Private medical cover
- Group income protection
- Great Company Pension
- Enhanced Sick Pay
- Enhanced Family Leave Pay
- Volunteering Leave
- Teammate recognition scheme
- Loyalty award scheme
- 24 / 7 access to EAP including Wisdom AI app
- Access to Bright Exchange Online marketplace
- Remote working with the option to work from our Central London Office
Behaviour in line with the company values.
Passion : Exhibit enthusiasm and commitment to achieving excellence in your work.
Performance : Deliver solutions that meet or exceed client expectations, focusing on measurable outcomes.
Partnership : Foster collaboration with team members, clients, and stakeholders to build strong and enduring relationships.
Successful applicants must have the right to work in the UK and a basic DBS check is required for this position. Ingentive are committed to equality of opportunity, diversity and inclusion.
We welcome applications from all suitably qualified candidates. As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
StudySmarter Expert Advice🤫
We think this is how you could land Microsoft Fabric Consultant in Leeds
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Ingentive!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Ingentive, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Ingentive
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Ingentive’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
