Data Engineer/Senior Data Engineer Opportunities

We have two roles available:
Senior Data Engineer
Data Engineer
Both roles are permanent positions.
Location: To be confirmed.
Clearance: SC
These roles require the following:
Essential competencies Personal attributes:
• Strong communicator, able to clearly articulate technical concepts to both technical and non-technical stakeholders.
• 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.
• Demonstrated leadership and mentoring capabilities, supporting the growth and development of engineering teams.
• 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:
• Deep/Solid expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt).
• Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview.
• Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB).
• Familiarity with data governance, metadata management, and data quality frameworks.
• Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring.
• Solid understanding of data security and compliance best practices, including secure data handling and regulatory requirements (e.g., Secure by design).
• Comfortable working in agile, multi-disciplinary teams, contributing across the full delivery lifecycle and supporting continuous improvement.
• 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.

#J-18808-Ljbffr