Data Engineering Lead

As part of the role you will:

• Manage DE teams to deliver data solutions for clients
• Lead in architecting data landscapes that to reflect data strategies
• Understand and translate end-user requirements into designs and delivery plans for effective data solutions
• Design, develop, execute, frameworks for managing the build of pipelines using cloud technologies
• Manage teams in supporting technical implementations and resolve data quality issues within given SLAs
• Manage the development of best practice within the Data Engineering practice
• Take a lead role in mentoring and developing others in the team and inspire them through commitment and enthusiasm
• Work with Azure team leads to ensure best practice implementations
• Build an inclusive team culture focusing on service excellence and exceptional performance
• Manage the development and maintenance of T&Ts documentation and processes
  
  Skills required for this role are:
• Proven Experience working and managing teams working in:
+ Databricks + Azure Data Factory + Azure Data Lake + Azure Synapse (and data warehousing approaches) or SSIS + Azure Analysis Services + DataOps and Data Quality tools such as great Expectations
• Comprehensive and demonstratable experience in programming languages such as:
+ SQL + Python + Spark + DAX + C#
• Comprehensive and demonstratable experience in Devops practices:
+ CI/CD (Azure DevOps preferable) + GIT and Version Control + Terraform or Bicep development
• Exceptional communication skills, both written and verbal - able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences.
Desirable:
• Real time data experience
• MLOps / Machine Learning Engineering processes to support advanced analytical use cases
• Data modelling including Kimball
• Container technologies such as Kubernetes and Docker
• Experience translating designs of Azure data solutions into action
• Working in a support environment
• Analysis/requirements gathering, solution design, and implementation of data platform and Azure technologies
• Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc.
  
  At Turner & Townsend we're passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society.
Every day we help our major global clients deliver ambitious and highly technical projects, in over 130 countries worldwide. Our team is dynamic, innovative, and client-focused, supported by an inclusive and fun company culture. Our clients value our proactive approach, depth of expertise, integrity and the quality we deliver. As a result, our people get to enjoy working on some of the most exciting projects in the world., Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.