Lead Data Engineer

at  Charlotte Tilbury

ABOUT CHARLOTTE TILBURY BEAUTY

Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace.
Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.
Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.

EXPERIENCE

• Experience with Digital Analytics software and platforms (e.g., Google Analytics, Snowplow, Looker). Technical ability to understand what’s going on under the hood of these tools.
• Demonstrable experience with web analytics in the E-commerce space.
• Extensive experience with cloud data warehouse & analytics query engines such as BigQuery, Redshift, Snowflake and a good understanding of cloud technologies generally
• Proficient in SQL, Python and Git
• Prior experience with HL (Terraform configuration language) YAML, Javascript, CLIs & Bash
• Prior experience with serverless tooling e.g. Google Cloud Functions, AWS Lambdas, etc.
• Familiarity with tools such as Fivetran, Dataform/DBT and Snowplow a bonus

Leadership and Collaboration

• Proven ability to lead cross-functional teams.
• Strong verbal & written communication skills to collaborate with stakeholders across different departments.
• Strategic thinking to align analytics initiatives with business goals.
• Experience with incident management & resolution

Adaptability

• Comfortable working in a dynamic environment where things move quickly and we need to react accordingly

Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they’ll love.
We’re seeking a skilled and experienced Data Engineering Lead to join our Data function to guide a team of data engineers in the design, build & maintenance of the pipelines that support this ambition. The ideal candidate will not only be able to see many different routes to engineering success, but to also be able to select & guide the team down the best path, working in concert with discipline Leads inside & outside the Data Team.
Our stack is primarily GCP, with Fivetran handling change detection capture, Google Cloud Functions for file ingestion, Dataform & Composer (Airflow) for orchestration, GA & Snowplow for event tracking and Looker as our BI Platform. We also use Terraform Cloud to manage our infrastructure as code.