Senior Data Engineer

The Analytics Engineering team works across all data domains to support our internal partners in building high-quality, ready-to-use datasets. As a Senior Data Engineer, you'll play a pivotal role in crafting our data landscape, empowering teams across the organization with reliable, high-quality data. You'll contribute to a vibrant data culture, encouraging self-service capabilities and driving impactful insights., * Build and champion central data models that are used in Insights, ML and Search pipelines

• Design and deliver robust data pipelines that deliver high-quality data for partner teams, such as insights, finance, ML, and operations
• Build data models using our data stack, including Databricks, AWS, dbt, Airflow and Looker
• Lead technical initiatives and be responsible for their success.
• Improve our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging
• Foster growth and capabilities in our junior engineers through mentoring, and support our data consumers in building their own models
• Cultivate a collaborative data culture that empowers self-serve data and model creation

• Consistent track record of successful end-to-end delivery of projects; from partnering with business teams, scoping requirements, to implementation and maintenance
• Experience aligning analytics engineering initiatives to a broader vision and to business objectives
• Good stakeholder management and communications, including documentation, planning and delivery management
• Strong programming skills in SQL and Python, with experience in services like Airflow, dbt and Looker
• Proficient with data engineering methodologies, data warehousing and data design, including performance and cost optimisation, observability and monitoring
• Experience working with and integrating different parts of the data stack.
• You've used BI tools, such as Looker, in a platform engineering capacity, helping to enable data scientists to build data models and self-serve analytics to business consumers
• Experience developing CI/CD pipelines using Github Actions or Jenkins
• Experience using Terraform

• PMI and cash plan healthcare access with Bupa
• Subsidised counselling and coaching with Self Space
• Cycle to Work scheme with options from Evans or the Green Commute Initiative
• Employee Assistance Programme (EAP) for 24/7 confidential support
• Mental Health First Aiders across the business for support and signposting

Work/Life Balance:

• 25 days annual leave with option to carry over up to 5 days
• 1 company-wide day off per quarter
• Impact hours: Up to 2 days additional paid leave per year for volunteering
• Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.
• Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant
• All offices are dog-friendly
• Ability to work abroad for 4 weeks per year in UK tax treaty countries

Family Life:

• 18 weeks of paid parental leave for full-time regular employees
• IVF leave, shared parental leave, and paid emergency parent/carer leave