Mace

Senior Data Engineer

Mace London, England, United Kingdom

Construction · 5,001-10,000 employees

10 h ago
data-engineer Senior (5-10 yrs) Full-time United Kingdom
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About the role

The Senior Data Engineer will lead a team in designing, implementing, and maintaining scalable data solutions on the Fabric and Azure platform. They are responsible for mentoring team members, collaborating with stakeholders to define technical requirements, and ensuring data quality and security.

What they look for

Microsoft Fabric Azure Data Engineering Python SQL Scala Data Modeling ETL Data Warehousing Azure Data Factory Azure Databricks Power BI Leadership Mentoring Data Governance CI/CD

Requirements

Candidates must have 5-8 years of hands-on development experience and a degree in Computer Science or a related field. Proficiency in Microsoft Fabric, Azure services, and programming languages like Python or SQL is essential.

Benefits

Flexible working options Hybrid working options

Full description

Senior Data Engineer - London

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

The ideal candidate will play a pivotal role in leading a team of highly skilled professionals, overseeing the design, implementation, and maintenance of cutting-edge data solutions on the Fabric & Azure platform.

This critical position is integral to facilitating data-driven decision-making processes and ensuring the seamless delivery of advanced analytics solutions.

You’ll be responsible for:

  • Mentor and coach team members to improve skills and gain experience
  • Provide technical guidance and support to team members, fostering a collaborative and innovative work environment.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Deputise for the Head of Data & Analytics when necessary.
  • Responsible for the technical design and implementation of scalable and efficient data architecture on the Fabric & Azure platform in collaboration with the data architecture team.
  • Work closely with solution architects to ensure alignment with overall system architecture.
  • Develop end-to-end systems with a focus on long-term maintenance and support.
  • Maintain expert knowledge of technology platforms and implement innovations.
  • 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.
  • 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 monitoring and alerting solutions to proactively identify and address issues.
  • Optimize data storage, processing, and retrieval on the Fabric & Azure platform.
  • Stay up to date with Fabric & Azure updates and best practices to ensure the use of the latest features and capabilities.
  • Implement and enforce security measures to protect sensitive data.
  • Ensure compliance 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:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 5-8 years of hands-on development experience in a similar role or as a senior developer
  • In-depth 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 Technical Lead in data and analytics projects using Fabric & Azure.
  • Strong programming skills in languages such as Python, SQL, or Scala.
  • Experience with data modelling, ETL processes, and data warehousing.
  • Experience with Azure DevOps/GIT for source control and managing code repositories
  • Knowledge of Microsoft Fabric and cloud service offerings (SaaS/PaaS/IaaS)
  • Experience with enterprise software platforms (HRMS, ERP, CRM, PLM, Finance).
  • Self-motivated and capable of working independently while fostering collaboration.
  • Excellent leadership and communication skills.
  • Strong problem-solving and analytical abilities.
  • Proficiency in mentoring and coaching team members.
  • Experience leading a delivery team focused on solution quality.
  • Proficiency in best practices (TDD, CI/CD, Peer review).
  • Experience in a similar role on large projects.
  • Knowledge of IT Service management based on ITIL practices

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.

Our values shape the way we construct, and define the people we want to join us on our journey, they are:

· 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.

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