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Turner & Townsend

Data Engineering Consultant

London
Posted about 17 hours ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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

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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
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  • 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.

Department: Infrastructure

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Skills

Databricks
Azure Data Factory
Azure Data Lake
Azure Synapse
SQL
Python
Spark
DAX
CI/CD
Git
Version Control
MLFlow
Data Modelling
Kubernetes
Docker
Requirements Gathering

Location

London, England, United Kingdom

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