At a Glance
- Tasks: Design and develop scalable data solutions using Microsoft Azure and transform data from various sources.
- Company: Mace, a leader in construction consultancy with a focus on innovation and inclusivity.
- Benefits: Flexible working options, competitive salary, and a commitment to employee wellbeing.
- Other info: Opportunities for career growth and a culture of continuous improvement.
- Why this job: Join a dynamic team making a real impact in data engineering and sustainability.
- Qualifications: Experience in data engineering and a strong understanding of IT service management.
The predicted salary is between 63000 - 77000 £ per year.
Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us on our journey.
Responsible for extending and supporting the data lake and data warehouse that underpin reporting and analytics solutions within the corporate Digital team by ingesting, integrating and transforming data from multiple sources. The Data Engineer will work collaboratively with data architects, analysts, business SMEs, Digital project teams and technology partners to translate business and data requirements into reliable, scalable and maintainable technical solutions. This role will also support the transition of data engineering deliverables into operational service, ensuring that solutions are developed with data quality, security, governance, performance, long-term support and continuous improvement in mind.
You’ll be responsible for:
- Data engineering, design and development: 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.
- Data integration, quality and performance: Building and optimise ETL/ELT processes, queries, dataflows and data models to improve performance, reliability and efficiency. Managing and secure the flow of data across the data platform, ensuring appropriate controls are applied to sensitive or business-critical information. Supporting the implementation of data quality, data governance and engineering best practices across data pipelines and analytical solutions. Supporting Data Analysts and the wider self-service community by providing reliable, well-structured data assets for dashboards, reports and analytical use cases.
- Security, governance and service transition: Ensuring data engineering development follows secure software development principles, including coding standards, testing, peer review, version control and controlled promotion between environments. Engaging with IT Service Management to transition data engineering deliverables successfully into service provision and ongoing operational support. Maintaining up-to-date knowledge of relevant technology platforms, emerging Azure services, Microsoft Fabric capabilities and data engineering practices, evaluating opportunities to improve the data platform where appropriate. Working 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.
You’ll need to have:
- Tracking record of delivering well-engineered data solutions using good engineering practices, including testing, CI/CD, peer review, documentation, source control and appropriate release management.
- Experiencing working in a similar role on large projects or programmes, ideally 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.
Our values:
- Safety first - Going home safe and well: We champion a safe, diverse and inclusive working environment, understanding the importance of wellbeing in every team.
- Client focus - Deliver on our promise: We own the quality of deliverables, strategic outcomes and build long term relationships with our clients.
- Integrity - Always do the right thing: We influence positive outcomes within our industry, while always aligning with our compliance obligations.
- Create opportunity - For our people to excel: We champion a continuous improvement culture throughout all activities, inspiring our people and teams to develop.
Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organisation. We are also open to discussing part time, flexible, and hybrid working options if suitable within the role.
Data Engineer employer: Mace group
Mace is an exceptional employer that prioritises safety, integrity, and client focus, creating a supportive and inclusive work environment for its employees. As a Programme Integration Lead in Cumbria, you will benefit from hybrid working options, comprehensive health coverage, and generous leave policies, all while contributing to a high-profile Defence programme of national importance. With a strong emphasis on professional growth and continuous improvement, Mace empowers its team members to excel and make a meaningful impact in their roles.
