Direct message the job poster from Ingentive

At Ingentive, we believe every teammate is a representative of our business and its values. As a leading Microsoft Elite Partner, we are passionate on 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. and accelerate towards self-sufficiency. We do this by providing client-side incubation support with ready-made out-of-the box capability supported by smart, execution-focussed 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 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
• DP-600 – Fabric Analytics Engineer Associate

Responsibilities:

On a daily basis your varied role will include, but will not be 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.
• 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

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting and Information Technology

• Industries

  IT Services and IT Consulting and Business Consulting and Services

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