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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 with cutting-edge technology.
- Qualifications: Experience in data engineering, Azure, Python, and a passion for data science required.
- Other info: Commitment to diversity and inclusion; reasonable adjustments available during recruitment.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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
Network with current or former employees of Ingentive on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss your experience with Azure Synapse, Azure Data Factory, or Databricks in detail. Be ready to share specific examples of how you've used these tools to solve problems or improve processes, as this will demonstrate your practical knowledge.
✨Tip Number 4
Showcase your passion for data science by discussing any personal projects or learning initiatives you've undertaken. This could include online courses, certifications, or even side projects that highlight your commitment to expanding your skillset.
We think you need these skills to ace Microsoft Fabric Consultant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Microsoft Fabric Consultant position. Tailor your application to highlight your relevant experience in data engineering, Azure, and Power BI.
Highlight Relevant Skills: In your CV and cover letter, emphasise your expertise in Python programming, data modelling, and any experience with Azure Synapse or Azure Data Factory. Mention your willingness to learn about Microsoft Fabric if you haven't worked with it yet.
Showcase Your Passion for Data: Use your application to convey your enthusiasm for transforming data into insights. Share examples of past projects where you've successfully implemented data solutions or optimised workflows, demonstrating your analytical and problem-solving skills.
Craft a Compelling Cover Letter: Write a personalised cover letter that connects your background to Ingentive's mission and values. Discuss how your skills align with their focus on delivering innovative Microsoft solutions and your desire to contribute to their dynamic team.
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 worked with data engineering tools, showcasing your technical skills.
✨Understand the Company’s Values
Familiarise yourself with Ingentive's mission and values. During the interview, align your answers to reflect their commitment to innovation and client-centric solutions, showing that you are a good cultural fit.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Practice articulating your thought process when tackling complex data challenges, as this will demonstrate your critical thinking skills.
