Инженер данных

Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition.

• Design, develop and maintain scalable, reliable and efficient data pipelines, dataflows and data engineering solutions using Microsoft Azure data services and related technologies;
• Integrate and transform data from multiple structured and unstructured sources to support trusted reporting, analytics and business data products;
• Develop robust end-to-end systems with long-term maintenance, supportability, scalability and performance in mind;
• Collaborate with the data architecture team to understand, assess and implement changes to data architecture, information architecture and platform design;
• Translate business, reporting and analytical requirements into appropriate technical designs, data models and integration patterns;
• Build and optimise ETL/ELT processes, queries, dataflows and data models to improve performance, reliability and efficiency;
• Manage and secure the flow of data across the data platform, ensuring appropriate controls are applied to sensitive or business-critical information;
• Support the implementation of data quality, data governance and engineering best practices across data pipelines and analytical solutions;
• Support Data Analysts and the wider self-service community by providing reliable, well-structured data assets for dashboards, reports and analytical use cases;
• Ensure data engineering development follows secure software development principles, including coding standards, testing, peer review, version control and controlled promotion between environments;
• Engage with IT Service Management to transition data engineering deliverables successfully into service provision and ongoing operational support;
• Maintain up-to-date knowledge of relevant technology platforms, emerging Azure services, Microsoft Fabric capabilities and data engineering practices;
• Evaluate opportunities to improve the data platform where appropriate;
• Work collaboratively towards the common goal of net zero carbon transition, sharing responsibility for the proactive identification and management of associated carbon emissions and reductions during the delivery of work.

• Track record of delivering well-engineered data solutions using testing, CI/CD, peer review, documentation, source control and appropriate release management;
• Experience working in a similar role on large projects or programmes involving multiple systems, stakeholders and data domains;
• Full project lifecycle experience, from requirements and design through to development, testing, deployment, service transition and operational support;
• Knowledge of IT Service Management based on ITIL practices.

• Part-time and flexible working options may be discussed if suitable for the role.