Lead Data Engineer

Fashion-Tech,
London

About my client:

They are the definitive fashion shopping website and app,
used by over 150M shoppers a year to discover and buy fashion. More than 8.5M
products from over 12,000 brands and stores can be accessed through their website
and app, offering shoppers convenience and unparalleled choice.

This is a great opportunity should you be looking to work in
small, self-managing, autonomous teams with end-to-end responsibility for a
specific customer-focused project.

About the Role:

They are looking for a Lead Data Engineer to head up our Data
Engineering team in the Infrastructure tribe. You will be responsible for
managing and growing the analytics pipeline that's used by every team in the
company to join together all of the data.

You will help to set the structure for data events, manage
the infrastructure and software that teams depend on to shuffle events into the
data lake, liaise with engineers throughout the company on their needs for the
pipeline, help maintain the tooling and developer experience of what you build,
and manage the Data Engineering team.

You will also be responsible for helping shape and enforce their
data governance policies that ensure events are built against and adhering to a
defined schema, develop data models that heuristically analyze and warn against
issues with data quality, and help to coordinate the rectification of any data
problems through the development of monitoring and alerting that allows the
engineering teams to own and self-serve their event pipelines.

Main Responsibilities:

• The analytics pipeline: building and maintaining the
  necessary infrastructure to move and process event data from where it's created
  or ingested and into our data lake
• Working in Python on top of the AWS technology stack: utilising
  Kinesis, Firehose, Lambda, S3 and Glue to deliver events into Snowflake for
  reporting on by our BI teams
• Using infrastructure-as-code in Terraform to create and
  maintain scalable infrastructure to support our data lake pipelines
• Driving our data engineering chapter to liaise with other
  data engineers throughout the company to gather feedback and ideas for
  development of the analytics pipeline
• Cultivate a great developer experience that engineers can use
  both locally and in production to build and maintain events in our pipeline
• Create processes to help engineers monitor and improve data
  quality and integrity
• Perform analysis to troubleshoot and fix data and
  infrastructure related issues and provide recommendations for improving the
  pipeline to help avoid problems
• Investigate the modelling of data events to proactively
  identify data quality issues and find ways to autonomously introduce this
  feedback into production workflows

About You:

• Interest
  in data pipelines, analytics and event handling, and building the necessary
  infrastructure
• Experience
  supporting and mentoring other engineers and working directly with them to
  achieve career growth
• Able
  to work comfortably with the Python code and AWS infrastructure that powers our
  pipeline
• Experience
  of technical problem solving and troubleshooting and incident management
• Able
  to triage and manage the project workload for the team in a structured but
  flexible kanban-style process
• The
  ability to work in a supportive but autonomous environment: you'll be expected
  to take stakeholder direction to develop well thought-out solutions but with
  the ability to have your own input on direction

What do they offer:

• You get 29 days' time off throughout the year to take a well
  earned rest, in addition to the 8 public bank holidays
• As a fashion company they give you £250 to spend on the site
  in Year 1, £500 in Year 2, £750 in Year 3 and £1000 from Year 4 onwards.
• Private Healthcare by Vitality.
• Conferences and events. They big on learning, so all employees
  are allocated an individual training & development budget of £1,000.
• Enhanced family leave entitlements for both parents and
  carers
• Discounted eye tests and glasses
• Team meet-ups, social events, sports and exercise events
• Cycle-to-work scheme
• Transport season ticket loans

Please forward
a copy of your most recent CV to the following email address and an initial
call will be scheduled.

E:
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Engineer
Incident Management
Fashion
Budget
REST
Pipelines
Healthcare
Analysis
Loans
Sports
Tests
Analytics
Mentoring
Problem Solving
Conferences
Infrastructure
Engineers
Troubleshooting
reporting
Python
Email
Software
Engineering
Training
Management