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Head of Microsoft Data & Analytics
United Kingdom
As the Head of Microsoft Data & Analytics you will combine a deep technical expertise with strong leadership and interpersonal skills to foster a culture of innovation, collaboration, and inclusivity.
In this role, you will be instrumental in designing, developing, and maintaining robust data solutions within the Microsoft Fabric ecosystem and delivering compelling solutions for our clients. Your role will encompass strategic thought leadership (defining and executing a data and analytics strategy and growing our practice), technical excellence (robust process and procedures and rolling out of standards), team development (leading and mentoring a diverse team of data engineers, analysts and testers, and promoting continuous learning), and stakeholder engagement (presenting to and discussing data up to C-Suite level and at industry events)
Your Transferable Skills and Experience
Microsoft Fabric Expertise: evidence of designing, developing, and maintaining data solutions using key Microsoft Fabric components (Lakehouse, Data Factory, Notebooks, Dataflow Gen2, OneLake).
Azure Ecosystem Knowledge: Strong experience with other Azure Data Services including Azure Databricks, Azure Data Factory, Azure Synapse Analytics and Azure SQL. Also requires knowledge of Azure DevOps CI/CD pipelines.
Data Architecture: experience in architecting and designing robust, secure, and compelling data solutions using Microsoft ecosystem toolsets.
Data Governance & Security: Strong knowledge of establishing and enforcing data governance policies, ensuring compliance with data privacy regulations, and implementing robust security protocols across enterprise data platforms, with knowledge of Microsoft Purview an advantage.
Data Modelling & ETL/ELT: Experience of implementing robust data models and developing efficient ETL/ELT processes using SQL and Azure Data Factory/Dataflow Gen2.
Power BI Development: Experience in designing, developing, and implementing complex Power BI reports and dashboards. Proficiency in writing complex DAX formulas and strong understanding of Power Query.
Programming Skills: Requires strong Python/PySpark for data manipulation, analysis, and automation, alongside advanced T-SQL.
Team Collaboration: Ability to communicate technical concepts clearly and collaborate effectively within a team to ensure data quality and integrity.
Your benefits:
26 Days annual leave plus public holidays (3 flexible)
Pension – Double matching contributions of up to 10%
Life assurance
Companywide incentive plans
Your choices (Flexible benefits such as increased holidays/ travel/ dental critical illness and more)
Perks at work – employee discounts
Employee assistance programme/ virtual GP
Private medical
Company car or car allowance
Recruitment process
The recruitment process consists of two stages of interviews
We are a Disability Confident Employer and will offer an interview to disabled applicants who meet the minimum/essential criteria for the role. Email [email protected] if you would like to apply through the Disability Confident Interview Scheme.
Achieve together
We are recognised as a responsible and inclusive employer: Not only are we a certified Disability Confident Leader, a Times Top 50 employer for Gender Equality, a Top 75 employer for Social Mobility, accredited with the Living Wage Foundation and a signatory for the Race at Work Charter, but we are also committed to the United Nations standards for LGBTI+ and a Stonewall Top 100 Employer.
We are people centric: Our work environments enable you to Be Completely You. Our active people-led Inclusive Community networks are representative of all aspects of diversity and are instrumental in enabling and supporting our innovative approach to inclusion.
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