Data Engineering Consultant

Company Description

At Turner & Townsend we’re passionate about making the difference – we are committed to delivering Sustainable Net Zero 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 Net Zero programmes from over 110 offices worldwide.

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.

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

#LI-VF1

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.