At a Glance
- Tasks: Transform raw data into insights and build high-performance data pipelines.
- Company: Join a Microsoft Elite Partner recognised as a top workplace.
- Benefits: Enjoy remote work, competitive salary, and comprehensive health benefits.
- Other info: Dynamic team culture with opportunities for learning and career growth.
- Why this job: Be at the forefront of AI-led transformations and make a real impact.
- Qualifications: Experience in data engineering with Azure and Python programming skills.
The predicted salary is between 45000 - 55000 £ per year.
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 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 Knowledge, Skills, and Experience
- 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
- DP-600 – Fabric Analytics Engineer Associate
- DP-700 - Fabric Data Engineer Associate
Objectives and Responsibilities
You’ll work across the areas below, with guidance from an Innovation Architect and in line with Ingentive's delivery standards. The mix will vary by engagement:
- 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 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.
- Bonus Schemes
- Life Assurance
- Private medical cover
- Group income protection
- Great Company Pension
- Enhanced Sick Pay
- Enhanced Family Leave Pay
- Volunteering Leave
- 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.
Our Purpose and Values
Vision - Empowering enterprises to their full potential with intelligent Microsoft solutions
- Mission - To create frontier enterprises
- Values – Passion, Performance, Partnership
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.
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Fabric Consultant in London employer: Ingentive
At IUnderstand Ingentive, we pride ourselves on being an excellent employer that fosters a dynamic and inclusive work culture. Our team members enjoy comprehensive benefits, ongoing professional development opportunities, and the chance to work with cutting-edge AI technologies in a collaborative environment. Located in the UK, we offer a unique blend of innovation and support, making it an ideal place for those looking to make a meaningful impact in the digital transformation space.
StudySmarter Expert Advice🤫
We think this is how you could land Fabric Consultant in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ingentive!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ingentive.
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We think you need these skills to ace Fabric Consultant in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Ingentive, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ingentive. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ingentive
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ingentive!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
