Senior/ Principal Data Engineering Consultant - London

Senior/ Principal Data Engineering Consultant- London

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.

Job Description

Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit Senior/ Principal data engineer consultants with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that will enable our clients to extract value from their data assets. The Role As part of the role you will:

• Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy
• Understand and translate end-user requirements into designs and delivery plans for effective data solutions
• Design, develop, execute, and maintain highly automated data pipelines using cloud technologies
• Analyse and resolve data quality issues
• Build, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team
• Identify opportunities for improvement and promote theses through the team
• Actively mentor and develop others in the team and inspire them through commitment and enthusiasm
• Foster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance
• Take knowledge or experience and translate into new ideas or solutions
• Contribute to the development and maintenance of T&Ts documentation and processes

Qualifications

Skills required for this role are:

• Proven ability to work with:
• Databricks
• Azure Data Factory
• Azure Data Lake
• Azure Synapse (and data warehousing approaches) or SSIS
• Azure Analysis Services
• Experience in programming languages such as:
• SQL
• Python
• Spark
• DAX
• A good understanding of Devops practices:
• CI/CD (Azure DevOps preferable)
• GIT and Version Control
• 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:

• MLFlow and other 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
• 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.