Senior Data Analytics Engineer
Role Overview
Job requirements
• Significant experience in data engineering, analytics engineering, or a related role.
• Recognised subject matter expertise in at least one area of the data stack, with a strong working knowledge across the rest.
• Passionate about helping stakeholders to solve business problems
• Excellent SQL and data transformation knowledge
• Experience with dbt or similar data modelling frameworks
• Strong Python skills
• Experience with Snowflake or similar cloud data warehouses (Databricks, BigQuery)
• Knowledge of data warehousing concepts, Kimball, Inmon & Data Vault
• Experience with data visualisation tools e.g. Looker, Lightdash or Tableau
• Proven experience in data ops (CI/CD, testing, orchestration, observability)
• Ability to lead cross-functional technical initiatives and influence without authority
• Experience with infrastructure as code (Terraform) is a plus
• Experience with workflow orchestration tools such as Airflow is a plus
• Experience with event-driven data architectures and real-time analytics is a plus
• Experience working with Shopify or e-commerce data is a plus
• Strong communication and collaboration skills, with the ability to adapt your style for different audiences including senior stakeholders.
• Cloud: AWS
• Infrastructure as Code: Terraform
Key Skills for This Role
Full Job Posting
Job requirements
- Significant experience in data engineering, analytics engineering, or a related role.
- Recognised subject matter expertise in at least one area of the data stack, with a strong working knowledge across the rest.
- Passionate about helping stakeholders to solve business problems
- Excellent SQL and data transformation knowledge
- Experience with dbt or similar data modelling frameworks
- Strong Python skills
- Experience with Snowflake or similar cloud data warehouses (Databricks, BigQuery)
- Knowledge of data warehousing concepts, Kimball, Inmon & Data Vault
- Experience with data visualisation tools e.g. Looker, Lightdash or Tableau
- Proven experience in data ops (CI/CD, testing, orchestration, observability)
- Ability to lead cross-functional technical initiatives and influence without authority
- Experience with infrastructure as code (Terraform) is a plus
- Experience with workflow orchestration tools such as Airflow is a plus
- Experience with event-driven data architectures and real-time analytics is a plus
- Experience working with Shopify or e-commerce data is a plus
- Strong communication and collaboration skills, with the ability to adapt your style for different audiences including senior stakeholders.
- Cloud: AWS
- Infrastructure as Code: Terraform
- Orchestration: Airflow (MWAA)
- Data Warehouse: Snowflake
- Data Modelling: DBT
- Data Ingestion: DLT (Data Load Tool)
- Language: Python
Job responsibilities
- Design, build, and maintain scalable data pipelines to support various data analytics and self-serve needs.
- Develop and implement ELT (Extract, Load, Transform) processes to integrate data from multiple sources into our data warehouse.
- Ensure data quality, consistency, and reliability through rigorous testing and validation procedures.
- Collaborate with 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.
- Build observability into data pipelines and models from the outset including monitoring, alerting, logging, and data quality checks so issues are detected early rather than reported by stakeholders.
- Champion continuous improvement by proactively identifying bottlenecks, introducing process changes, and automating repetitive tasks to help the team move faster and more efficiently.
- 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.
- Facilitate complex technical discussions and decisions that impact multiple teams, bringing best practice and getting buy-in by demonstrating the value of change.
- Mentor and support junior team members, sharing expertise and helping to raise the technical bar across the team.
Job benefits
- Hybrid working with 3 days in the office in central London
- Free membership to Beauty Pie+ and additional percentage off our products
- 25 days holiday & your birthday off
- Flexible bank holidays
- Equal leave for all new parents regardless of gender or personal circumstances
- Private Medical Insurance
- Menopause support
- £2,500 / $2,500 to spend on your fertility journey after 2 years of service
- 10 therapy sessions through AXA PPP
- Access to mental health support through Spill
About Beauty Pie
Members-only luxury beauty buyers’ club selling skincare, makeup, fragrance and other personal-care products directly from labs.
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