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For Companies At a Glance
- Tasks: Transform raw data into insights and build high-performance data pipelines.
- Company: Ingentive is a leading Microsoft Elite Partner focused on innovative solutions.
- Benefits: Enjoy remote work, bonus schemes, private medical cover, and a great pension.
- Why this job: Join a dynamic team and help organisations unlock their data's potential.
- Qualifications: Experience in data engineering, Azure, Python, and a passion for data science.
- Other info: Commitment to diversity and inclusion with support for applicants with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
About Us
At Ingentive, we believe every teammate is a representative of our business and its values. As a leading Microsoft Elite Partner, we are passionate about delivering innovative Microsoft solutions that improve the way that people work. The advancements in the Microsoft Power Platform products allow us to help our clients advance at a rate previously unheard of. We use our technical knowledge, passion for our clients and strong proven methodologies to make sure we can always deliver the best results. We work with a varied range of clients and partners to bring leading-edge solutions to organisations delivering optimal return on investment. To us, every client problem is heard and understood by our entire team, and that is how we deliver tailored solutions with true passion and consideration. Our success is due to our amazing teammates working across the organisation, bringing continual improvement and innovation to everything they do.
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
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
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 employer: Ingentive
Contact Detail:
Ingentive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric Consultant
✨Tip Number 1
Familiarise yourself with Microsoft Fabric and its ecosystem. Since the role requires a strong willingness to learn, showing that you've taken the initiative to understand its functionalities can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with Azure Synapse, Azure Data Factory, or Databricks in conversations. Be prepared to discuss specific projects where you've successfully implemented these technologies, as practical examples can demonstrate your expertise effectively.
✨Tip Number 3
Showcase your Python programming skills by discussing relevant data manipulation tasks you've completed. If possible, prepare to share code snippets or examples of how you've optimised workflows using Python in previous roles.
✨Tip Number 4
Emphasise your teamwork and communication abilities during interviews. Since the role involves collaboration with data scientists and stakeholders, demonstrating your capacity to work well in a team will be crucial for landing the job.
We think you need these skills to ace Microsoft Fabric Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, Azure, and Power BI. Use specific examples that demonstrate your skills in building data pipelines and optimising workflows.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it aligns with Ingentive's mission. Mention your familiarity with Microsoft Fabric and your eagerness to learn more about it.
Showcase Relevant Projects: If you have worked on projects involving Azure Synapse, Databricks, or Python programming, be sure to include these in your application. Detail your role and the impact of your contributions.
Highlight Soft Skills: In addition to technical expertise, emphasise your communication and teamwork abilities. Ingentive values collaboration, so provide examples of how you've successfully worked in teams to achieve goals.
How to prepare for a job interview at Ingentive
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and how it can transform businesses. Share examples of how you've used data to drive insights or improve processes in previous roles.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with Azure, Power BI, and Python programming. Highlight specific projects where you designed data pipelines or optimised workflows, showcasing your technical skills.
✨Understand the Company’s Values
Familiarise yourself with Ingentive's mission and values. Be ready to explain how your personal values align with theirs, particularly regarding client-centric solutions and teamwork.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical and problem-solving abilities. Practice articulating your thought process when tackling complex data challenges.
