Data Analytics Engineer New London

We’re Beauty Pie. We’re the world’s first luxury beauty and wellness buyers’ club. And we’re disrupting the beauty industry, one face cream at a time. Before we arrived on the scene, if you wanted really great beauty products, you had to shop at traditional beauty retail - and overpay for all the crazy markups. Now, our members have access to shop from the best-quality beauty and wellness products (from the leading labs in France, Switzerland, Italy, Germany, Japan, Korea, etc) and get a bigger piece of the Beauty Pie. As an Analytics Engineer at Beauty Pie, you will be responsible for designing, developing, and maintaining robust data pipelines and analytics solutions. We’re big believers in self-serve analytics! You will collaborate closely with data scientists, analysts, and business stakeholders to ensure the availability and accuracy of data needed for decision-making. Your expertise in data engineering, analytics, and software development will be crucial in driving our data strategy forward. So, what will you be doing? Design, build, and maintain scalable data pipelines to support various data analytics and self-serve needs. Develop and implement ETL (Extract, Transform, Load) processes to integrate data from multiple sources into data warehouses. Ensure data quality, consistency, and reliability through rigorous testing and validation procedures. Collaborate with data scientists and analysts to understand data requirements and deliver actionable insights. Optimise and tune SQL queries and database performance to handle large volumes of data efficiently. Create and maintain documentation related to data architecture, processes, and workflows. Stay up-to-date with emerging technologies and best practices in data engineering and analytics. Work closely with cross-functional teams to align data initiatives with business goals and objectives. Minimum Requirements: Proven experience in analytics engineering, analytics, or a related role. Passionate about helping stakeholders to solve business problems. Excellent SQL and data transformation knowledge (dbt is a plus). Knowledge of data warehousing concepts, Kimball, Inmon & Data Vault. Experience with data visualization tools eg. Looker, Lightdash or Tableau. Experience with Cloud databases such as Snowflake, Databricks or BigQuery. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus. Knowledge of machine learning concepts and experience working with data science teams is a plus. What makes someone ‘Beauty Pie’? Our culture is our DNA. It defines who we are, how we operate and how we hire. And it all springs from our values, which are very important to us: Bring Your ‘A’ Game : Take ownership & accountability. Make sh*t happen. Grow. Support. Evolve. Invent. Be open-minded. Be Intelligently Rebellious : Challenge the status quo. Push boundaries. Embrace change. Think BIG. Be Customer Obsessed : Listen & learn. Take ownership. Act fast. Be humble & empathetic. Build & keep trust. Be grateful for feedback. It’s All For One (& One For All) : Take advantage of collective intelligence. Act with integrity. Support & challenge. Embrace individuality. Do right by our company, our members, our colleagues & our environment. We’re committed to diversity & inclusion As a business that’s based on fairness and self-worth, our commitment to inclusivity runs through the heart of everything we do. We believe that innovation and creativity come from having a diverse workforce, and are committed to building teams with unique identities, from different backgrounds and with individual perspectives. A bit about our ways of working We foster a high-performance culture, where you are trusted to get the work done. We treat all of our teams like adults in giving them autonomy and flexibility. In order to encourage in-person collaboration and create a strong team environment, we aim to be in the office 3 days a week, with flexibility built in around role, type of work and personal requirements. We encourage you to discuss this as part of the interview process to understand the requirements in this role. Your piece of the Beauty Pie: Life & Balance Free Membership to Beauty Pie + discount off our products. Pieshares - all employees receive stock options. 25 days holiday & your birthday off / 22 vacation days for the US team. Flexible bank holidays. Equal leave for all new parents regardless of gender or personal circumstances. Private Medical Insurance. £2,500 / $2,500 to spend on your fertility journey after 2 years service. 10 therapy sessions through AXA PPP. So, what are you waiting for?

Apply now for a chance to be part of an inspirational, international and talented team. Beauty Pie is an equal opportunity employer. The company will not unlawfully discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, religion or belief, colour, nationality, ethnic or national origin, disability or age, pregnancy or trade union membership. Please let us know, if you require reasonable adjustments at any point during the application and/or recruitment process.

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