Data Engineer Lead

About the role

Blend is seeking a Data Engineer Lead to build, maintain, and optimise scalable data solutions for Journey Analytics initiatives. The role focuses on code maintainability, reusable components, and reliable data pipelines.

Key responsibilities

• Maintain, optimise and automate existing code repositories in GitHub, refactoring legacy code for easier reuse.
• Design and build modular, reusable code components supporting multiple journeys.
• Develop and manage automated data pipelines in Databricks for analytics datasets and downstream reporting.
• Consolidate KPIs and attributes into standardised data structures and maintain scalable data models.
• Ensure data quality, performance and reliability across pipelines and collaborate with analytics and engineering teams.

Required profile

• 5+ years of experience in data engineering or similar roles.
• Hands‑on experience building and maintaining data pipelines in Databricks.
• Strong proficiency with Python for data processing and transformation.
• Extensive SQL experience working with large‑scale datasets.
• Proven ability to validate, transform and normalise data.

Required skills

• Python
• SQL
• Databricks
• GitHub
• ETL pipeline development
• Data modelling
• Data validation and transformation

What we offer

• Learning opportunities: certifications in AWS, Databricks, Snowflake and access to Udemy Business.
• Travel to industry conferences and client sites.
• Mentoring, career development plans and flexible working options.
• Company‑provided equipment and celebrations for personal milestones.