Data Engineer

Posted 2024-07-18

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💎 Seniority level: Senior, 4+ years

📍 Location: Africa, United Kingdom, Europe, Middle East

🔍 Industry: Sports and Digital Entertainment

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: PythonAgileETLKafkaAzureData engineeringSpark

Requirements:

4+ years' of experience in a data engineering or similar role.
Excellent programming skills in Python and Spark (PySpark/Databricks).
2+ years’ experience working with Databricks and Azure data services.
Experience with other cloud data environments (AWS, Google Cloud, Hadoop, etc.) is a plus.
Experience with Customer Data Platforms is advantageous.
Active management of data quality including monitoring and alerting.
Familiarity with the application lifecycle from development to production.
Remote working experience is required; hyper-growth startup experience is a plus.

Responsibilities:

Design and manage a scalable Data Lake/ETL infrastructure and data pipeline.
Ensure fault-tolerant systems and processes with data integrity and automated monitoring.
Continuously improve data processes for performance and scalability.
Ensure data privacy and security standards are met.
Maintain up-to-date documentation for the Data Platform stack.
Collaborate with business stakeholders and engineering to deliver data products.

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