Lead Data Engineer

Posted 1 day 7 hours ago by Harnham

Permanent
Not Specified
Other
London, United Kingdom
Job Description

Principal Data Engineer

Salary: £100,000 + 15% Bonus

Location: Central London, 2 days in office


We're hiring on behalf of our client, a global leader in personalized 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 de-centralised 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.