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- Employment
- Permanent Full Time
- Seniority
- Lead
About the role
What you'll be doing:
- Design, build, and maintain scalable data pipelines and ETL processes across cloud platforms.
- Lead the architecture and implementation of DAZN’s data infrastructure to support analytics, ML, and reporting.
- Collaborate with data scientists, analysts, and product teams to deliver high-quality, reliable datasets.
- Optimize data storage, processing, and performance for large-scale, real-time data streams.
- Ensure data quality, governance, and security across all data environments.
- Mentor and guide a team of data engineers, fostering best practices and technical excellence.
- Evaluate and adopt new data technologies to continuously improve DAZN’s data ecosystem.
What you'll bring:
- Strong experience with Python, SQL, and modern data engineering frameworks.
- Expertise in building and optimizing ETL/ELT pipelines and data workflows.
- Hands-on experience with cloud data platforms (e.g., AWS, GCP, or Azure).
- Proficiency in big data technologies like Spark, Databricks, or Kafka.
- Solid understanding of data modeling, data warehousing, and distributed systems.
- Experience with orchestration tools such as Airflow, dbt, or similar.
- Knowledge of data governance, security, and best practices for scalable data systems.
- Familiarity with CI/CD, infrastructure-as-code, and DevOps concepts.
- Excellent problem-solving, leadership, and collaboration skills.
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