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Microsoft Fabric Consultant, Warrington, Cheshire
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Job Category: Other
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EU work permit required: Yes
Job Views:
2
Posted:
31.05.2025
Expiry Date:
15.07.2025
Job Description:
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 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 ensure we always deliver the best results.
We work with a varied range of clients and partners to bring leading-edge solutions to organizations, delivering optimal return on investment. To us, every client problem is heard and understood by our entire team, enabling us to deliver tailored solutions with passion and consideration. Our success is due to our amazing teammates working across the organization, bringing continual improvement and innovation to everything they do, helping clients become self-sufficient. We do this by providing client-side incubation support with ready-made out-of-the-box capabilities supported by smart, execution-focused practitioners.
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.
* Proven experience in data engineering with exposure to Azure Synapse, 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 optimizing workflows.
* Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment.
* Data modeling experience and understanding of the Kimball methodology.
* DP-600 – Fabric Analytics Engineer Associate certification.
Responsibilities:
On a daily basis, your role will include, but is not limited to:
* 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.
Benefits include bonus schemes, life assurance, private medical cover, group income protection, a great company pension, enhanced sick pay, family leave pay, volunteering leave, loyalty awards, 24/7 access to EAP including Wisdom AI app, access to Bright Exchange Online marketplace, and remote working options with the possibility to work from our Central London office.
Additional Requirements
Successful applicants must have the right to work in the UK, and a basic DBS check is required. Ingentive is committed to equality, diversity, and inclusion, providing reasonable adjustments during the recruitment process for candidates with disabilities.
We welcome applications from all qualified candidates and are dedicated to making the recruitment process accessible for everyone.
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