Lead Data Engineer

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.

About the role

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.

As our Data Engineering Lead for Digital Analytics you will

• Lead the design, development, implementation, and maintenance of data pipelines, systems, and architectures.
• Lead architectural decisions related to the Snowplow platform (core platform for data collection and processing), GTM, GA4 and Appsflyer.
• Provide technical leadership, guidance & training to team members on best practices for data engineering.
• Mentor colleagues at all levels on new ways of working and improved development practices.
• Look for and act on opportunities for growing both the skills and capacity of the data team.
• Collaborate with stakeholders to understand their data needs and create data models accordingly.
• Develop and maintain ETL processes and ensure data quality and integrity.
• Develop and maintain cloud-based data infrastructure and ensure its security and scalability.
• Consider data privacy and safeguarding PII in all aspects of the data development lifecycle.
• Stay current with the latest trends and technologies in Digital Analytics including Performance Marketing, CRM, Attribution.
• Join our Google Cloud platform management team and take ownership in the security, consistency, efficiency & general operation of the platform.

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.

Who you will work with

• Digital, Trade, and E-commerce Teams.
• Customer Insights and Data Science Teams.
• Product and Tech Squads.

Why join us?

• Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves.
• We’re a hybrid model with flexibility, allowing you to work how best suits you.
• 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday.
• Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey.
• Financial security and planning with our pension and life assurance for all.
• Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues.
• Bring your furry friend to work with you on our allocated dog friendly days and spaces.
• And not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.

If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!