This is a fully remote position, open to applicants in United Kingdom.

• Assume full responsibility for comprehensive data engineering projects.

• Design, construct, maintain, and enhance scalable data pipelines utilizing Dagster, Python, and Snowflake.

• Produce clean, efficient, and well-documented code while ensuring the quality and scalability of the codebase.

• Maintain high standards of data quality through rigorous unit testing, integration testing, and data monitoring.

• Design and create intricate data models in accordance with industry best practices.

• Engage in code reviews, offering constructive feedback to uphold high standards.

• Support the design and implementation of our data architecture.

• Remain informed about industry trends and emerging technologies.

• Over 3 years of experience in a comparable position, demonstrating a history of independent work and impactful contributions.

• Strong proficiency in Python and SQL (Snowflake preferred).

• Experience with monitoring and alerting tools.

• Comprehensive knowledge of engineering best practices (e.g., unit testing, writing DRY code).

• Practical experience with a modern data orchestrator (e.g., Airflow, Dagster, Prefect).

• Familiarity with data modeling concepts and methodologies (such as Kimball dimensional modeling, data vault, etc.).

• Proficiency in using dbt.

• Comfortable with Git and version control processes.

• Private health insurance with no excess, including optical coverage and optional dental.

• Income protection to safeguard your earnings and provide peace of mind.

• Tenure holiday policy: after three years, receive an additional two days of leave, increasing to 30 days annually after five years.

• Flexible working arrangements and a fully supported home office setup to enable optimal performance from home.

• Nursery salary sacrifice scheme assisting parents in saving thousands annually on nursery fees.

• Salary sacrifice options for technology and holidays, allowing you to manage the cost of desired items.

• Retail discounts and subscription benefits across a broad range of brands.

• Quarterly team social events to connect, celebrate, and enjoy time together.

Data Engineer

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