At a Glance
- Tasks: Design and develop data solutions using Microsoft Fabric to transform business data.
- Company: Edinburgh-founded business focused on data transformation and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to promoting data literacy and best practices.
- Why this job: Be a key player in shaping data strategy and driving impactful decisions.
- Qualifications: Experience with data platforms, SQL, Power BI, and strong stakeholder engagement skills.
The predicted salary is between 59576 - 70089 £ per year.
Head Resourcing are partnering with an Edinburgh-founded business to recruit a
Azure Fabric specialist to play a pivotal role in the organisation's data transformation journey.
This is an opportunity to bridge the gap between business strategy and modern data platforms, helping to design, build and govern enterprise-wide analytical solutions that support regulatory reporting, risk management, customer insight, operational efficiency and strategic decision-making.
Working closely with stakeholders across the business, you'll help establish data as a strategic asset while delivering scalable, compliant and high-quality data products using the Microsoft technology stack.
Key Responsibilities
- Engage with business stakeholders to understand and document data and reporting requirements.
- Translate business needs into analytical data products, automation initiatives and reporting solutions.
- Design and develop Lakehouse and Data Warehouse solutions using Microsoft Fabric.
- Build and optimise end-to-end data pipelines and ingestion frameworks.
- Deliver robust MI, dashboarding and reporting solutions within Power BI.
- Drive data governance initiatives including data lineage, quality, traceability and metadata management.
- Develop and maintain data models, business glossaries, process documentation and data dictionaries.
- Support regulatory reporting, risk analytics, customer insight and operational reporting initiatives.
- Identify opportunities for automation and improved business decision-making through data.
- Promote data literacy and champion best practice across the organisation.
- Collaborate with project, technology and change teams to support successful delivery of strategic initiatives.
We're interested in speaking with candidates who can demonstrate
- Significant experience designing and delivering modern data platforms and data architecture solutions.
- Strong experience with the
- Microsoft Fabric ecosystem
- SQL
- Power BI
- Data Warehousing
- Lakehouse architecture
Strong understanding of
- Data governance
- Metadata management
- Data security principles
- Proven ability to engage with both technical and non-technical stakeholders.
- Experience gathering requirements and translating these into practical data solutions.
- Strong documentation and process mapping skills.
- Experience delivering data-driven solutions in complex business environments.
If this role sounds of interest and you would like to have a confidential chat to find out more, please apply or send your CV to to find out more.
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Data Manager employer: Head Resourcing
As a leading business change consultancy based in Edinburgh, we pride ourselves on fostering a dynamic work culture that prioritises employee growth and development. Our commitment to impactful transformations in the construction sector allows our team members to engage with senior stakeholders, driving meaningful change while enjoying a supportive environment that values autonomy and collaboration.
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We think this is how you could land Data Manager
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We think you need these skills to ace Data Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Head Resourcing
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
