Data Engineering Consultant

Job Description

Job Description

Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit a data engineer 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 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.

Additional Information

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.

Please find out more about us at www.turnerandtownsend.com/

#LI-VF1

#LI-Hybrid

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects: 

Twitter

Instagram

LinkedIn

It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. 

Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.