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Principal Data Engineer

Hays Specialist Recruitment Limited
Posted 7 hours ago, valid for 17 days
Location

Taunton, Somerset TA4 1BY, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Principal Data Engineer role involves leading a collaborative data engineering team responsible for developing and maintaining data pipelines.
  • Candidates should have a proven track record of delivering resilient and scalable data pipelines, along with experience in stakeholder engagement.
  • Proficiency in cloud technologies such as AWS, Azure, or GCP, and excellent programming skills in Python are required.
  • The position requires at least 5 years of experience in data engineering and leading teams or projects, along with expertise in SQL and data modeling.
  • Salary for the role is competitive and commensurate with experience, reflecting the seniority and responsibilities of the position.

Your new roleAs Principal Data Engineer, you'll join a collaborative and agile data engineering team where you'll take responsibility for all aspects of data engineering while working with peers to ensure the efficient and sustainable function of the team. You'll be working in a team that organises as generalists to encourage sharing of projects, knowledge, and technical skills. The team maintains a large codebase of cloud-deployed, serverless data pipelines written to high software engineering standards. Your responsibilities will include:

  • Working with stakeholders and delivery managers to build and deliver data services
  • Collaborating with peers to build and maintain effective data engineering capability
  • Producing roadmaps and architecting data flows to contribute to engineering solutions
  • Ensuring reliability and performance of data engineering pipelines
  • Modelling and building data storage solutions for various data types
  • Leading on code quality and documentation standards
  • Sharing technical expertise with members of the data engineering team
  • Providing line management and mentoring to junior team members, helping prioritise their workload

What you'll need to succeed

  • Proven track record of successfully delivering multiple resilient and scalable data pipelines
  • Experience working with stakeholders to understand and translate requirements
  • Proficiency with cloud technologies such as AWS/Azure/GCP
  • Excellent programming ability, ideally in Python, along with programming best practices
  • Experience with tools and techniques such as SQL, various database types, data formats, and data modelling
  • Demonstrable experience of pipeline logging, usage tracking, and cost monitoring
  • Previous experience deploying analytical/machine learning tools for users
  • Experience leading a team or multiple projects and supporting team members in workload prioritisation and development

What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.