Data Engineering Lead

at  Turner Townsend

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate21 Dec, 2024Not Specified22 Sep, 2024N/ATeams,Analysis Services,Programming LanguagesNoNo
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Description:

Company Description
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

Responsibilities:

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 end-user 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:


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

London, United Kingdom