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Reference Code:  48571

Lead GCP Data Engineer

Watchfinder

West Malling, KEN, GB

Permanent
  
  

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!

https://www.youtube.com/watch?v=APv4PrNWiZU&feature=embtitle

 

How will you make an impact?

We are looking for a talented Lead GCP Data Engineer to join our growing team of data and analytics experts. You 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. You will be a skilled data engineer with experience in leading on the creation of data products supporting analytic solutions.
You will also get the opportunity to grow out the data engineering function here at Watchfinder. Including hiring, selecting and training your new team for excellence!

This is an exciting data-driven role and we’re looking for someone to take it to the next level. Solving complex problems is something you do for fun. You possess great attention to detail and a flair for pulling things apart to make them even better. You will have the determination to advance our data architecture, developing new ideas and helping us to add even more value to the organisation.

 

  • Leading the development of innovative and scalable Data Engineering solutions
  • 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.

 

 

How will you experience success with us?

  • Hands on and deep experience working with Google Data Products (e.g., BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.).
  • Experience in Spark (Scala/Python/Java) and Kafka.
  • 3+ years’ experience of 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’ experience building and optimising ‘big data’ data pipelines, architectures and data sets.
  • 3+ years’ experience in developing and maintaining data warehouses
  • 3+ years’ experience building custom ETL design alongside implementing and maintaining ETL functionality
  • 3+ years’ experience in schema design and dimensional data modelling
  • Proven experience in the Software Delivery Lifecycle and CI/CD toolsets
  • Experience analysing data to identify deliverables, gaps and inconsistencies.
  • Experience managing and communicating data warehouse plans to internal clients.
  • Exposure to designing API driven services
  • 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

 

Desirable Technical Qualifications

  • Certified Google Cloud Data Engineer
  • Certified Google Cloud Architect
  • Other similar demonstrable skills

 

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.