PERMANENT ROLE
Clearance: SC

Key – Azure specialist – into a bigger team of 19 – plugging into the team.
Building pipelines – python
Data verse
Modelling
Building data piece and need to move into cloud – power BI doing that

Essential competencies Personal attributes:
• Effective communicator, able to collaborate with both technical and non-technical colleagues.
• Confident working independently or as part of a collaborative, cross-functional team.
• Skilled at building trust with clients and colleagues, with a consultative and solution-focused approach.
• Organised and adaptable, with excellent time management and the ability to respond to shifting priorities.
• Self-motivated, proactive, and committed to continuous learning and improvement.
• Creative problem-solver with the ability to think critically and deliver innovative, practical solutions.
• Team-oriented, with a positive attitude and a strong sense of ownership and accountability.

Technologies, Methodologies and Frameworks:
• Solid experience with data engineering tools and practices, including Python, SQL, and ETL/ELT frameworks (e.g., Azure Data Factory, dbt).
• Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview.
• Experience building and maintaining data pipelines across structured and unstructured data sources.
• Experience designing and implementing dimensional and star-schema data models for reporting and analytics.
• Familiarity with data governance, metadata management, and data quality principles.
• Awareness of data security and compliance best practices (e.g., Secure by Design).
• Comfortable working in agile, multi-disciplinary teams, contributing across the full delivery lifecycle.
• Adaptable and quick to learn new tools, frameworks, and technologies to meet the needs of diverse client projects.

Desirable skills
• Experience working in secure customer environments.
• Familiarity with working in government or defence sectors, or other complex public sector environments.
• Industry recognised Technical Qualifications. (e.g., Fabric Data Engineer Associate, Microsoft Azure Data Engineer, Databricks, dbt).
• Knowledge and experience of delivering AI-based solutions
• Proficiency in Power BI, including data modelling, DAX, and building interactive dashboards and reports that support data-driven decision-making.

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