# Lead Data Engineering at Dazn

> Onsite · India · Staff · Data engineering · open. Source: https://alderhq.app/jobs/pinpoint%3Adazn%3A589732 (read 2026-11-04).

## Facts (observed)

- Company: [Dazn](https://alderhq.app/companies/dazn)
- Location text: India - Hyderabad, TSIIC, Raidurg,
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "hyderabad"")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://careers.dazn.com/en/postings/178ff5c7-3793-48e8-9f5e-bc3e73be70d4
- Skills listed (inferred): AWS, GCP, Azure, Airflow, Snowflake, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

Why Join DAZN?

Joining DAZN in Hyderabad means being part of a cutting-edge sports streaming company in a vibrant tech hub. You’ll work alongside passionate, talented professionals on innovative projects that reach millions of fans worldwide. Hyderabad offers a dynamic work environment with a great balance of career growth and lifestyle. If you’re excited about shaping the future of live and on-demand sports entertainment, DAZN Hyderabad is the perfect place to make your mark and grow your career.

### 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.
### Skills

- 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.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Adazn%3A589732 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.