Lead Data Engineer

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

📋 Description

• Collaborate with the Head of Data to take charge of the technical strategy for data engineering, ensuring our technology stack scales in alignment with business growth.

• Design, maintain, and enhance robust data pipelines and architecture to facilitate reliable analytics and minimize latency over time.

• Develop a platform that empowers analysts to self-serve and allows stakeholders to make informed decisions.

• Help define a repeatable architecture for expansion across multiple territories.

• Supervise the implementation of data models and frameworks that support analytics and business intelligence initiatives.

• Promote engineering best practices in areas such as testing, monitoring, version control, automation, and practical design.

• Lead code review sessions, elevate quality standards, and ensure proactive management of technical debt.

• Mentor engineers, assist with career development, and offer light people management while remaining hands-on.

• Stay informed about industry trends, introducing tools and approaches that future-proof the data platform without creating unnecessary complexity.

⛳️ Requirements

• Possesses a background as a software engineer with a specialization in data/platform engineering.

• Exhibits strong foundational skills in software engineering.

• Demonstrates strong proficiency in Python or equivalent production engineering skills.

• Has SQL skills; experience with Snowflake is advantageous, but depth in engineering is prioritized over specific tool familiarity.

• Displays breadth in data modeling and architecture, with the ability to clearly articulate trade-offs.

• Familiar with orchestration frameworks such as Dagster, Airflow, or Prefect.

• Holds hands-on experience with modern data warehouses/lakehouse patterns and cloud infrastructure.

• Comfortable with platform/infrastructure considerations across tools like dbt, Docker, Terraform, AWS, Iceberg, or similar technologies.

• Acts as a hands-on leader: prioritizing data engineering first, with people management as a secondary focus.

• Flourishes in a start-up or scale-up environment, bringing a pragmatic and impact-oriented mindset.

🏝️ Benefits

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

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

• Tenure holiday policy: after three years, you 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 helping parents save significantly on nursery fees each year.

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

• Retail discounts and subscription perks available across a variety of brands.

• Quarterly team socials to foster connections, celebrate achievements, and enjoy time together.