drjobs Data Engineering Lead

Data Engineering Lead

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1 Vacancy
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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The Role

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 enduser 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

 


Qualifications :

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 multidisciplinary 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 worklife 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 

#LIVF1

#LIHybrid

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: 

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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 email 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. 


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

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