Data Engineer

Mace; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Mace Limited seeks a Data Engineer in London to design and implement scalable data architectures on Fabric and Azure. You will collaborate across teams to translate business data needs into robust data solutions and develop end-to-end systems with a focus on maintainability and governance.

You will build ETL processes, optimize pipelines, and support analytics delivery, while staying current with Azure services and security practices to ensure reliable data flows and insights for the business.

Qualifications

• Bachelor's degree in a related field.
• 5+ years as a data engineer building analytics solutions on Fabric & Azure.
• Strong SQL, Python, PowerShell proficiency.
• Experience with ETL/ELT, data warehousing and modelling concepts.
• Familiarity with Azure Data Factory, Databricks and Synapse.
• Knowledge of data governance and security practices.

Responsibilities

• Design scalable data architecture on Fabric & Azure with the architecture team.
• Collaborate with cross-functional teams to translate data needs into solutions.
• Develop end-to-end data systems with long-term maintenance in mind.
• Develop ETL processes using Fabric notebooks, Pipelines and Azure tools.
• Optimize data pipelines for performance, scalability, and reliability.
• Support dashboards/reports creation by Data Analysts and stakeholders.

Skills

SQL

Python

PowerShell

Azure

Fabric

Data modelling

ETL/ELT

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Databricks

Fabric notebooks

Pipelines

Power BI

Git

Job description

Data Engineer - London

We are actively seeking an accomplished and driven Data Engineer with hands‑on proficiency in development, specifically utilizing the latest Fabric & Azure tools for data and analytics.

We are actively seeking an accomplished and driven Data Engineer with hands‑on proficiency in development, specifically utilizing the latest Fabric & Azure tools for data and analytics.

You’ll Be Responsible For

• Design and implementation of scalable and efficient data architecture on the Fabric & Azure platform in collaboration with the data architecture team.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Develop end-to-end systems with a focus on long-term maintenance and support.
• Stay current with emerging trends and technologies in data engineering and Azure services and evaluate their potential impact on our data infrastructure
• Evaluate and recommend Fabric & Azure services and tools based on project requirements.
• Facilitate the transition of deliverables into service using IT Service Management.
• Develop and implement ETL processes using Fabric notebooks, Pipelines, Azure Data Factory, Azure Databricks, or other relevant tools.
• Manage and secure structured and unstructured data flows from multiple sources and integrate them to create a unified and reliable data pipeline.
• Optimize data pipelines for performance, scalability, and reliability.
• Ensure data quality and implement appropriate data governance practices.
• Design and implement analytical solutions using Fabric, Azure, Power BI, or similar tools.
• Optimize queries, dataflows and data models for performance and efficiency.
• Support the creation and maintenance of dashboards and reports by Data Analysts from both the Digital team and the wider self-service community.
• Implement and enforce security measures to protect sensitive data.
• Ensure development is compliant with data protection regulations and industry standards.
• Collaborate with the security team to address any identified vulnerabilities.
• Enforce best practices and governance in data management.
• Ensure development conforms to secure software development principles including adherence to coding standards, QA & peer review, and use of version control to promote changes out of development.

You’ll Need To Have

• Knowledge of Fabric & Azure services such as Fabric Lakehouses, Notebooks, Pipelines, Workspaces, along with Data Factory, Databricks, Azure SQL, Synapse Analytics, LogicApps, PowerShell and Power BI
• Proven experience as a data engineer for at least 5 years, with a focus on building data and analytics solutions using Fabric & Azure.
• Deep understanding of Azure data services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, etc.
• Proficiency in programming languages such as SQL, PowerShell, and Python.
• Strong experience with data modelling, ETL/ELT processes, and data warehousing concepts.
• Excellent problem-solving skills and attention to detail.
• Experience with Azure DevOps/GIT for source control and managing code repositories
• Practical knowledge and experience of Microsoft Fabric and cloud service offerings (SaaS/PaaS/IaaS) a significant advantage.
• Experience with enterprise software platforms (HRMS, ERP, CRM, PLM, Finance) desirable but not essential.
• Self-motivated and capable of working independently while fostering collaboration.
• Experience working in a delivery team focused on solution quality.
• Experience in a similar role on large projects.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Highly motivated with a 'can do' and positive attitude; resilience and patience dealing with multiple stakeholders.
• Ability to take ownership of own workload.
• Organised and detail-oriented, ability to adopt a process-oriented approach.
• Ability to work well under pressure and to deadlines, prioritising tasks accordingly.
• Knowledge of IT Service management based on ITIL practices.
• Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect are preferred but not required.
• Bachelor's degree in Computer Science, Engineering, or a related field.

At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities and societies across the globe.

Within our construct business we harness our unique combination of leading-edge practical expertise and project delivery to unlock the potential in every project.

• Safety first - Going home safe and well
• Client focus - Deliver on our promise
• Integrity - Always do the right thing
• Create opportunity - For our people to excel

We are also open to discussing part time, flexible, and hybrid working options if suitable within the role.

Primary Location

GB-GB-London

Organization

Mace Limited - Group Services

Schedule

Regular

Job Type

Full-time

Job Posting

15-Sep-2026, 8:59:08 AM