Senior Data Engineer

Swap; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading software provider in London is seeking a passionate Senior Data Engineer to join their platform team. Responsibilities include driving API strategy, developing data pipelines, and ensuring data quality. The ideal candidate has over 5 years of experience in customer-facing product environments, proficiency in Python, and familiarity with Google Cloud technologies. This role offers competitive salary and stock options in a high-growth startup.

Benefits

Competitive base salary

Stock options in a high-growth startup

Private health insurance

Pension

Qualifications

• 5+ years experience working as a data engineer.
• Demonstrable Python experience with data technologies.
• Several years of experience in a Google Cloud Platform environment.

Responsibilities

• Own API strategy and implementation for product data access.
• Influence the technical direction of the data platform.
• Manage data replication pipelines for observability and alerting.

Skills

Experience in customer-facing product environments

Python and data pipeline orchestration

Google Cloud Platform experience

CI/CD technologies deployment

Data warehouse architecture understanding

Communication with stakeholders

Experience with Shopify or e-commerce datasets

Tools

Data Load Tool (dlt)

FastAPI

BigQuery

Cloud Run

Cloud Storage

GitHub Actions

Data Build Tool (dbt)

Job description

[Hybrid role: 2/3 days office - Holborn, London]

Say hello to the ecommerce OS. Swap is a leading software provider dedicated to empowering e-commerce brands with innovative, data-driven solutions. Our cutting-edge platform helps online retailers optimise their operations, enhance customer experiences, and drive growth. We are committed to fostering a collaborative and inclusive work environment where creativity and innovation thrive.

About the Role

We're looking for a passionate and detail-oriented Senior Data Engineer to join our platform team as we rapidly scale our stack for a new data-driven era at Swap. In this role, you'll be driving change through building first-class data systems for the whole business whilst shaping the platform vision and driving internal best practices.

This role requires a knowledgeable, hands-on and enthusiastic team player who is excited at the prospect of accelerating and scaling a greenfield project. If you're excited by the idea of working in a fast-paced, collaborative team where you can make a real impact, we'd love to hear from you!

Responsibilities

• API Strategy & Development: Own the strategy and implementation of our API layer, enabling our products to access the data they need.
• Platform Technical Vision: Input and influence the technical direction of the data platform at Swap, ensuring we're always prepared for future business opportunities.
• Data Pipeline Development: Own our replication pipelines to ensure we have first-class observability, latency and alerting capabilities
• Data Quality & Governance: Driving best practices to ensure our data is trustworthy and reliable as we scale together to deliver best in class products for Swap.

What We're Looking For

• 5+ years experience working as a data engineer in customer-facing product environments.
• Demonstrable Python experience working with data pipeline, orchestration, and api framework technologies. Ideally, but not limited to, Data Load Tool (dlt) and FastAPI.
• Several years of experience working in a Google Cloud Platform environment, specifically BigQuery, Cloud Run and Cloud Storage.
• Experience deploying different CI/CD technologies, such as GitHub Actions, to achieve scalable and seamless multi-developer projects.
• Understanding of data warehouse architectures and best practices using data build tool (dbt).
• Ability to clearly communicate and influence the technical vision and direction of the platform to technical and non-technical stakeholders.
• Experience working with Shopify or e-commerce datasets.

Benefits

• Competitive base salary
• Stock options in a high-growth startup
• Private Health insurance
• Pension