Lead Data Engineering

Responsibilities

• Lead the development and governance
• of DAZN’s semantic data models to support consistent, reusable reporting metrics.
• Architect efficient, scalable data transformations
• on
• Snowflake

Key Responsibilities

using

SQL/DBT

and best practices in data warehousing.

Manage and enhance pipeline orchestration with

• Airflow, ensuring timely and reliable data delivery.
• Collaborate with stakeholders across Product, Finance, Marketing, and Technology to translate requirements into robust data models.
• Define and drive best practices in version control, testing, CI/CD for analytics workflows.
• Mentor and support junior engineers, fostering a culture of technical excellence and continuous improvement.
• Champion data quality, documentation, and observability across the analytics layer.
• Skills, Knowledge & Expertise
• 10+ years of experience in data/analytics engineering, with
• 2+ years leading or mentoring engineers
• Deep expertise in

SQL

• and cloud data warehouses (preferably
• Snowflake) and

Cloud Services(AWS /GCP/AZURE)

• Proven experience with dbt for data modeling and transformation.
• Hands-on experience with

Airflow

• (or similar orchestrators like Prefect, Luigi).
• Strong understanding of dimensional modeling, ELT best practices, and data governance principles.
• Ability to balance hands-on development with leadership and stakeholder management.
• Clear communication skills — you can explain technical concepts to both technical and non-technical teams.