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Data Technical Lead

Posted: 11 Jan 2021 Closes: 10 Feb 2021
London, England, United Kingdom Competitive
Permanent & Full-time MTF_D49860C9E7

Description

At MATCHESFASHION we are on a mission to offer the most personal luxury shopping experience in the world. We are renowned and respected for the relationships we build with clients and our brand partnerships. To achieve our ambition, we capitalise on our unique combination of technical savviness and global innovation mixed with curated content.

We bring together a modern edit of over 700 established and new generation designers. Founded over 30 years ago as a brick and mortar store, we transitioned online in 2012. In 2017, APAX Partners acquired a majority stake in MATCHESFASHION, fuelling our expansion. We now ship to 176 countries, have over 70 million site visits and 95% of our sales are online with the majority of sales made internationally.

We have a global website, mobile apps, retail stores, private shopping, VIP events and 24/7 customer care and MyStylist teams. We have offices in the UK and Hong Kong. In London, our head office is based in The Shard, our brand new creative hub is in Here East and last year we launched No.5 Carlos Place, a completely new retail concept combining digital and physical interaction.

We lead the way, moving our industry forward, and we are always looking for talented individuals to come in and inspire the world with us.

Our commitment to Diversity and Inclusion

Diversity and Inclusion is a priority for MATCHESFASHION - we delight customers around the world and so it's important that our team represents our customers.

We want to attract the very best talent and create an inclusive environment that celebrates the diversity of our people and enables them to do the best work of their careers. We recognise the world is not a perfect place and that bias exists, which is why we take a focused approach in this area and are are committed to ensuring that all our people processes are equitable.

The role

A Data Technical Lead will join the Data and Analytics team to lead the Data Efficiency team. The Data Technical Lead will be managing a cross functional delivery team of seven Engineers, Data Scientists and Analysts. The role will own technical leadership, delivery, all people management and system ownership pertaining to the team. The role will require a broad involvement with all areas from Data Engineering to BI, but we are mainly expecting main technical hands on tasks to revolve around Data Science efforts mainly driving efficiencies Product Buy and Price optimisation.

Working closely with the Data Efficiency team Product manager, this role will coordinate and oversee all delivery of development work through to production support. The main development focus will most likely be Data Science focused work (e.g. ML) but expect to traverse the entire delivery stack from design, development architecture and ownership.

Requirements

About you:
  • You are a passionate Data expert with a wide technical ability with a core expertise in Data Science and a broader knowledge/understanding covering Data Engineering within Big Data technologies, Databases (including knowledge of Data warehousing) and standard Business Intelligence uses.
  • Desirable to have experience within Spark (Databricks a plus)
  • Cloud native (desirable AWS exp.)
  • Polyglot developer but we would expect you to be an expert in Python and SQL. Scala/Java desirable
  • Broader engineering knowledge and familiarity with Containerisation (Docker, Kubernetes, ECS, etc), APIs, DevOps principles (CI/CD), Terraform for infrastructure as code), TDD/BDD and good test automation appreciation.
What you'll be doing:
  • Managing the delivery of Efficiency teamwork from Data Science (expected core skill area), BI, and Database/Data Engineering disciplines.
  • Ownership of Product Efficiency team Products across a shared platform landscape BI (MicroStrategy), Unified Analytics, Big Data processing and Data Science model governance (Databricks/AWS) and Data Warehousing (SQL Server).
  • Efficiency team Data Engineering ELT/ETL pipeline ingestion of data into the Data Lake (typically Databricks Spark or AWS Lambda workloads) , onwards to our Data Warehouse (SQL Server).
  • Maintaining and further expanding high standards of delivery and behaviour through Agile principles and evolving the teams SCRUM maturity, Sprint and Team Health.
We lead the way, moving our industry forward, and we are always looking for talented individuals to come in and inspire the world with us. Matchesfashion.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people.

MATCHESFASHION

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