Reference Code:  48571

Lead Data Engineer


West Malling, KEN, GB


Since Watchfinder & Co. was first founded in 2002, it has grown to become the premier resource from which to buy and sell premium pre-owned watches. With thousands of watches available from more than 50 brands, including Rolex, Omega, IWC and more, plus boutiques across the UK and a manufacturer certified service centre, Watchfinder has established itself as the top pre-owned watch specialist.

Join Watchfinder and build your career today!



How will you make an impact?

We are looking for a talented Lead Data Engineer to join our growing team of data and analytics experts. The hire will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross functional teams.

The role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data engineer with experience in leading the creation of data products supporting analytic solutions.

What you’ll be doing:

  • Leading the development of innovative and scalable Data Engineering solutions using tools like dbt analytics, python, airflow, gcp, aws, bigquery, docker, gitlab, terraform etc..
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and  cloud ‘big data’ technologies.
  • Collaborate with software engineers, data scientists, data analysts, business SME’s and product managers to understand data needs.
  • Design, build and launch new data extraction, transformation and loading processes in production, mentoring others around creating efficient queries.
  • Support existing processes running in production and implement optimised solutions with limited guidance.
  • Coach more junior Data Engineers and provide inspiration, support and technical guidance for wider teams
  • Define and manage Service-Level Objectives (SLO), Service-Level Agreements (SLA) and Service-Level Indicators (SLI) for data sets in allocated areas of ownership.


Your Expereince

  • 3+ years’ experience in a Data Engineering role
  • 3+ years working experience working with cloud architecture and data tools
  • Highly proficient coding skills using languages like  Scala or Python or Java
  • 3+ years’  advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • 3+ years’ working experience building and optimising ‘big data’ data pipelines using tools like DBT, Airflow or Luigi
  • 3+ years’ working experience developing and maintaining data warehouses; schema design and dimensional data modelling
  • Proven experience in the Software Delivery Lifecycle and CI/CD toolsets
  • A strong understanding of API applications with 2+ years of experience building backend APIs
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Proven ability to lead small teams in technical assignments


How do we keep you smiling?

As a significant member of the Watchfinder community, you are also part of a much bigger family at Richemont. We strongly believe in internal development, mobility and offering various opportunities to enhance both your personal and professional development.  You will have the opportunity for your voice to be heard, drive change, and make a real impact from day one. This is a fast-growing company, going through an exciting period of change from a UK centric business to an international company. Giving you the opportunity to grow and gain further opportunities in the future.


Your Interview Journey


1st Stage - After your application has been selected, our Talent team will reach out to you within two weeks to conduct and introductory call.

2nd Stage – Video Interview with the Data & Analytics Manager & a member of the Talent Team.

3rd Stage-  A test will be submitted to you after your 2nd stage interview. This will be followed by a final interview with the CTO and Data & Analytics Manager.