Senior Data Engineer

DEPOP; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading e-commerce platform in London is seeking a Senior Data Engineer to enhance their data capabilities. You will be responsible for building central data models, designing robust data pipelines, and mentoring junior engineers. The role offers a hybrid working model along with various health and well-being benefits. Ideal candidates should have strong skills in SQL, Python, and cloud technologies.

Benefits

Health + Mental Wellbeing benefits

25 days annual leave

Flexible working model

Family leave benefits

Learning and development budgets

Life Insurance

Free UK shipping on sales

Qualifications

• Proven success in end-to-end project delivery.
• Strong stakeholder management and communication skills.
• Experience with data engineering methodologies and warehousing.

Responsibilities

• Build and champion central data models used in Insights and ML.
• Design robust data pipelines for partner teams.
• Mentor junior engineers.

Skills

SQL

Python

Stakeholder management

Communication skills

Data engineering methodologies

CI/CD practices

BI tools like Looker

Tools

Databricks

AWS

dbt

Airflow

Terraform

Github Actions

Jenkins

Job description

Role

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.

Responsibilities

• Build and champion central data models used in Insights, ML, and Search pipelines.
• Design and deliver robust data pipelines that provide 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 engineering efficiency by developing internal tooling, CI/CD practices, and alerts/logging.
• Mentor junior engineers and support data consumers in building their own models.
• Cultivate a collaborative data culture that empowers self-serve data and model creation.

Requirements

• Proven success in end-to-end project delivery, from partnering with business teams to implementation and maintenance.
• Experience aligning analytics engineering initiatives with broader vision and business objectives.
• Strong stakeholder management and communication skills, including documentation, planning, and delivery management.
• Proficiency in SQL and Python, with experience in Airflow, dbt, and Looker.
• Knowledge of data engineering methodologies, warehousing, and data design, including performance and cost optimization, observability, and monitoring.
• Experience working with and integrating different parts of the data stack.
• Experience with BI tools like Looker to enable data scientists and business consumers.
• Experience developing CI/CD pipelines using Github Actions or Jenkins.
• Experience using Terraform.

Additional information

• Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidized counselling, Cycle to Work scheme, Employee Assistance Programme, Mental Health First Aiders.
• Work/Life Balance: 25 days annual leave, impact hours for volunteering, paid sabbatical after 5 years.
• Flexible Working: Hybrid model with options for Flex, Office Based, and Remote (role dependent). Offices are dog-friendly. Ability to work abroad for 4 weeks/year in UK tax treaty countries.
• Family Life: 18 weeks paid parental leave, IVF leave, shared parental leave, emergency parent/carer leave.
• Learn + Grow: budgets for conferences and subscriptions, mentorship programs.
• Your Future: Life Insurance (3x salary), pension matching up to 6%.
• Depop Extras: Free UK shipping on sales, milestone rewards.