Senior Data Developer

Journey

2d • Hybrid

About The Position

This role involves end-to-end work, including designing and building scalable ETL/ELT pipelines for BigQuery using Python and SQL. You will lead the implementation of DataForm for version-controlled, testable SQL transformations, and define and maintain engineering standards such as code review, CI/CD, monitoring, and testing. You will collaborate with analysts, product engineers, and the AI team to translate business needs into robust data models, and mentor teammates to enhance the company's data capabilities. The role also involves working with modern technologies, including LLMs and agentic coding tools, to accelerate analysis and development.

Requirements

• Strong production experience with Google Cloud Platform, especially BigQuery (partitioning, clustering, cost/performance tuning).
• Hands-on experience with DataForm.
• Advanced SQL proficiency—window functions, complex joins, and query optimization.
• Solid Python skills for pipeline engineering and tooling.
• Thorough understanding of ETL/ELT: orchestration, idempotency, data quality, observability.
• Comfort with CI/CD practices and Git-based workflows (GitHub Actions, GitLab CI, etc.).
• 5+ years in data engineering, with at least 2 years focused on GCP.

Nice To Haves

• Experience with Databricks or PySpark in production environments.
• Familiarity with AWS or Azure data services.
• Exposure to Infrastructure-as-Code (Terraform).
• Knowledge of data streaming technologies (Pub/Sub, Dataflow, Kafka).
• Partnering with analytics or ML teams.
• Ability to communicate clearly with non-technical colleagues.

Responsibilities

• Design and build scalable ETL/ELT pipelines for BigQuery, using Python and SQL.
• Lead the implementation of DataForm for version-controlled, testable SQL transformations.
• Define and maintain engineering standards: code review, CI/CD, monitoring, and testing.
• Work with analysts, product engineers, and the AI team to turn business needs into robust data models.
• Mentor teammates and help level up how Journey works with data.
• Work with modern tech, use LLMs and agentic coding tools responsibly to speed up analysis and development.

Benefits

• Direct ownership and influence over a critical business platform.
• Join a team of disruptive thinkers, digital specialists and tech pioneers.
• High quality hardware and development tools.
• Flexible working — in the beginning we expect mostly office collaboration but over time you will get more remote flexibility.
• Regular company off-sites.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed