The Role
We’re looking for a Lead Analytics Engineer to take ownership of our analytics data Pipeline and play a pivotal role in designing and scaling our modern data stack. This is a hands-on technical leadership role where you'll shape the data models in dbt / Snowflake , orchestrate pipelines using Airflow , and enable high-quality, trusted data for reporting.
Key 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 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.
You’ll Need to Have
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.Nice to Have
Experience in the media, OTT, or sports tech domain.Familiarity with BI tools like Looker or PowerBI.Exposure to testing frameworks like dbt tests or Great Expectations .