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For Companies At a Glance
- Tasks: Design and optimise data pipelines using Azure and Power BI to drive business intelligence.
- Company: Join Ingentive, a top Microsoft Elite Partner and a great place to work.
- Benefits: Enjoy competitive bonuses, private medical cover, and remote working options.
- Why this job: Be at the forefront of AI-led transformations and make a real impact with data.
- Qualifications: Experience in data engineering and a passion for learning new technologies.
- Other info: Dynamic team culture with opportunities for professional growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
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 organizations 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 modeling.
- 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 optimize 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 organization.
- 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 modeling.
- 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.
Microsoft Fabric Consultant in England employer: Ingentive
Contact Detail:
Ingentive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric Consultant in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Ingentive on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Azure, Power BI, or Python. Bring it up during interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Be ready to discuss real-world applications of your skills. Think of examples where you've optimised data workflows or collaborated on projects. This shows you're not just book-smart but also practical!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Ingentive.
We think you need these skills to ace Microsoft Fabric Consultant in England
Some tips for your application 🫡
Show Your Passion for Data: Let your enthusiasm for data shine through in your application! We want to see how your love for transforming raw information into insights aligns with our mission at Ingentive.
Tailor Your Experience: Make sure to highlight your relevant experience with Azure, Power BI, and any data engineering projects you've tackled. We’re looking for specific examples that demonstrate your skills and how they can benefit our team.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Ingentive
✨Know Your Tech
Make sure you brush up on your knowledge of Azure, Power BI, and Microsoft Fabric. Be ready to discuss how you've used these technologies in past projects or how you plan to leverage them in this role. Showing that you're not just familiar but also passionate about these tools will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data engineering challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical skills and your ability to optimise workflows effectively.
✨Communicate Clearly
Since teamwork is key in this consultancy role, practice explaining complex data concepts in simple terms. You might be asked to collaborate with non-technical stakeholders, so being able to communicate clearly and effectively will set you apart from other candidates.
✨Emphasise Your Willingness to Learn
Ingentive values innovation and continuous learning, so express your eagerness to expand your skillset, especially in areas like predictive analytics and machine learning. Mention any relevant courses or certifications you’re pursuing, as this shows your commitment to personal and professional growth.
