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Principal Data Engineer

Harnham - Data & Analytics Recruitment
Posted 4 hours ago, valid for 12 days
Location

London, Greater London EC1R 0WX

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 position offers a salary of £97,000 plus a 15% bonus and is located in Central London with a hybrid work model of 2 days in the office.
  • The role requires a strong background in software and data engineering leadership, with a focus on decentralised data and machine learning adoption.
  • Key responsibilities include leading the design and construction of scalable, cloud-native data solutions and mentoring a team of engineers on best practices.
  • Candidates should be proficient in Python, SQL, and modern ELT practices, with deep knowledge of data warehousing, AWS services, and Infrastructure as Code.
  • This senior role is ideal for individuals with significant experience in data engineering, particularly in e-commerce or consumer tech sectors.

Principal Data EngineerSalary: £97,000 + 15% bonusLocation: Central London, 2 days in office

We're hiring on behalf of our client, a global leader in personalised photo products, for an experienced Principal Data Engineer to join their UK data & ML team. This is a senior hands-on leadership role driving data platform strategy and engineering standards as they evolve toward decentralised data and ML adoption.

Role overview:You'll play a central role in re-architecting and scaling their data platform to meet growing business and customer needs. This includes building robust, observable data pipelines, ensuring data trustworthiness, and mentoring a team of engineers while collaborating closely with Product, Ops, and Marketing stakeholders.

Key responsibilities:

  • Lead design and build of scalable, cloud-native data solutions with best-in-class governance and observability
  • Define technical principles and data engineering standards across distributed teams
  • Coach data and analytics engineers on SDLC best practices (CI/CD, testing, versioning)
  • Contribute to strategic planning and technical roadmaps in collaboration with product and engineering leads
  • Influence cross-functional stakeholders on architecture and implementation trade-offs
  • Ensure data is reliable, timely, and actionable for operational and ML-driven use cases

About you:

  • Strong background in software and data engineering leadership
  • Proficient in Python, SQL, and modern ELT practices (e.g. dbt, Fivetran, Airflow)
  • Deep knowledge of data warehousing (Snowflake), AWS services (e.g. Lambda, Kinesis, S3), and IaC (Terraform)
  • Experienced in building data platforms with a focus on governance, reliability, and business value
  • Comfortable driving architectural conversations and mentoring engineers across disciplines
  • Advocate for decentralised data models, such as data mesh

Nice to have:

  • Experience with data quality tools (e.g., Monte Carlo)
  • Knowledge of data security and compliance
  • Previous work in e-commerce or consumer tech

This is a chance to shape the next generation of data systems powering personalised customer experiences at scale - while working in a people-first, purpose-driven culture.

Get in touch to find out more or apply.

#DataEngineering #PrincipalEngineer #Snowflake #AWS #Python #DataMesh #Leadership #DataPlatforms #LondonJobs #Hiring

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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.