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Senior/ Principal Data Engineering Consultant- London

Turner Townsend
London
3 days ago
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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

Due to growing demand for our Infrastructure Digital - Data and Analytics services, we are seeking to recruit Senior/Principal Data Engineer consultants with excellent technical knowledge of designing, building, and maintaining scalable data pipelines that enable our clients to extract value from their data assets.

The Role

As part of the role, you will:

  1. Work with developers, managers, and business stakeholders to understand and define components of the data landscape and how it relates to the data strategy.
  2. Understand and translate end-user requirements into designs and delivery plans for effective data solutions.
  3. Design, develop, execute, and maintain highly automated data pipelines using cloud technologies.
  4. Analyse and resolve data quality issues.
  5. Build, maintain, and support data workflows and the necessary infrastructure as part of a data and analytics delivery team.
  6. Identify opportunities for improvement and promote these through the team.
  7. Actively mentor and develop others in the team and inspire them through commitment and enthusiasm.
  8. Foster and demonstrate an inclusive team culture focusing on service excellence and exceptional performance.
  9. Translate knowledge or experience into new ideas or solutions.
  10. Contribute to the development and maintenance of T&Ts documentation and processes.
Technical Skills
  • Experience with Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse or SSIS, Azure Analysis Services.
  • Programming languages: SQL, Python, Spark, DAX.
  • Good understanding of DevOps practices: CI/CD (preferably Azure DevOps), GIT, and Version Control.
  • Exceptional communication skills, both written and verbal, able to translate complex technical subject matter into understandable presentations and documentation for diverse audiences.
Desirable Skills
  • MLFlow and other MLOps / Machine Learning Engineering processes.
  • Data modelling including Kimball methodology.
  • Container technologies such as Kubernetes and Docker.
  • Experience translating Azure data solution designs into implementation.
  • Experience in requirements gathering, solution design, and implementation of data platforms and Azure technologies.
  • Collaborative experience with multidisciplinary teams, including software engineers, DevOps, infrastructure teams, and data scientists.


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