Data Engineer

Core

8d•Hybrid

About The Position

Core is a high-growth Microsoft Managed Services Provider (MSP) delivering modern technology solutions across Azure, Microsoft 365, Security, and Modern Workplace. We specialise in providing a wide range of services, solutions and software to optimise our clients’ Microsoft investments. Our customers trust us to help them unlock productivity, reduce risk, and transform their businesses through technology. We live by our CORE values: Customers first (we put customers at the heart of what we do and take accountability for our actions), One Core (we recruit, develop and retain great talent in a supportive team environment), Responsive (we’re flexible, approachable and responsive to customer needs), and Expertise (we’re proudly professional and continuously strive for excellence for customers, peers and partners). We are seeking a highly skilled and motivated Data Engineer to lead the design, development, and delivery of modern data analytics solutions. This role combines hands-on technical expertise with strategic thinking, enabling clients to unlock insights and value from their data using Microsoft’s latest analytics stack. You will work closely with stakeholders to understand business requirements, architect scalable solutions, and guide delivery teams through implementation. The ideal candidate will have deep experience in Power BI, Microsoft Fabric, and Azure data services, with a passion for innovation, technical expertise with strategic thinking to support data-driven transformation.

Requirements

Proven experience delivering enterprise-grade Power BI solutions.
Implement robust data transformation and validation processes to ensure accuracy and alignment with business definitions.
Collaborate with business analysts, data modellers, and reporting teams to ensure the curated data supports deeper insights into corporate performance.
Optimise data pipelines for scalability, reliability, and maintainability using best practices (e.g., modular ETL design, version control, CI/CD).
Strong understanding of Microsoft Fabric architecture and components.
Expertise in Microsoft Fabric Data Engineering Fabric Dataflows / Azure Data Factory.
Experience with Azure Synapse, Data Lake, SQL, and integration pipelines.

Nice To Haves

Experience with other low-code or analytics platforms.
Knowledge of data governance frameworks and security models.
Microsoft certifications (e.g., Power BI Data Analyst Associate, DP-600).

Responsibilities

Lead the design and architecture of end-to-end analytics solutions using Power BI and Microsoft Fabric.
Translate business requirements into scalable data models, lakehouse architectures, and reporting frameworks.
Develop and optimize Power BI reports, dashboards, and semantic models using DAX and Power Query.
Implement Fabric components including Data Factory, Lakehouse, Dataflows Gen2, and Notebooks.
Collaborate with data engineers and business analysts to ensure seamless integration and data quality.
Support presales activities including solution design, effort estimation, and client presentations.
Establish and promote best practices in data governance, performance tuning, and DevOps for BI.

Benefits

Work from home contract but alternatively, you can also work from our offices (London, Manchester, or Edinburgh).
Appropriate, modern technology to support the fulfilment of your role.
Significant focus on Learning + Development, including training courses, seminars, and social events in London.
Supportive, ambitious and entrepreneurial culture where you'll have the freedom to drive ideas, take ownership and make a real impact.
Two paid leave days per year to volunteer for causes that resonate with Core's values, such as charitable efforts, environmental initiatives, and supporting the next generation in tech.
Private healthcare and Employee Assistance Programme (EAP) for mental health and wellbeing.
Monthly WFH allowance.
Life Assurance: 5x annual salary.
Cycle-to-work scheme.
Catered quarterly & annual social events.
Travel and accommodation allowance.