Data Engineering Lead

3 weeks ago


Huddersfield, Kirklees, United Kingdom Reed Talent Solutions Full time
Job Title: Data Engineer Lead

We are seeking a highly skilled Data Engineer Lead to join our team at Reed Talent Solutions. As a Data Engineer Lead, you will be responsible for building and developing our client's data engineering capability and practice, providing professional people and technical leadership.

Key Responsibilities:

  • Take technical responsibility for all stages and/or iterations of a data engineering project, providing method-specific technical advice and guidance to stakeholders.
  • Implement best practice and set standards for data engineering, tools, techniques, and methods.
  • Advise on the application of standards and methods and ensure compliance.
  • Lead work to define test conditions based on a review of requirements and specifications.
  • Lead the design, development, and implementation of complex data flows to connect and transform data from a range of data sources within and external.
  • Establish enterprise-scale data integration procedures across the data development life cycle and ensure that teams adhere to these.
  • Predict and advise on future technology changes that present opportunities for and/or risks to a product or programme.
  • Identify and respond to/develop opportunities to re-use existing data flows between and across teams.
  • Promote and communicate the value in metadata repositories and set up robust governance processes to keep repositories up to date.
  • Proactively lead work and identify opportunities for data quality improvements.

Requirements:

  • Relevant Data Engineering experience within a Lead position - Strong leadership skills along with the relevant technical competencies is a must.
  • Experience of implementing and working with cloud-based data platforms and services (e.g., Microsoft Azure, Amazon Web Services).
  • Knowledge of the concepts and principles of Datamodelling and experience of producing relevant data models across multiple subject areas.
  • Experience and skills in designing, building, and testing data products and services that are complex or large-scale.
  • Experience of developing and implementing data engineering practice and process standards.
  • Experience of leading, managing, and developing teams, providing technical leadership and career development.
  • Experience of building and continually improving data engineering capability and practice.
  • Experience of working with a range of data types and structures.
  • Advanced skills in developing databases and extracting, transforming, manipulating, and modelling data using a range of programming languages.


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