Data Engineer II

Job not on LinkedIn

🕒 August 17

🇪🇸 Spain – Remote

💵 €70k - €78k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Logo of Ookla

Ookla

201 - 500 employees

Founded 2006

📡 Telecommunications

🏢 Enterprise

Telecommunications • Enterprise

Ookla is a leading provider of network intelligence and connectivity insights. The company offers a wide range of solutions including network planning and optimization, service disruption management, and network testing. Ookla's products, such as Speedtest, Downdetector, and Ekahau, are used by mobile network operators, internet service providers, governments, and enterprises to enhance digital experiences and optimize network performance. Ookla also provides market reports and data-driven insights that inform policy and infrastructure decisions related to telecommunications. Trusted by consumers, businesses, operators, and governments worldwide, Ookla plays a critical role in measuring and analyzing network performance and quality of service.

📋 Description

• Develop high-volume data processing jobs across Redshift, Athena, Iceberg, Spark, and Airflow • Work closely with Data Scientists to turn theory and methodology into viable products • Identify system performance bottlenecks and recommend process-efficiency improvements • Support and collaborate with data scientists, analysts, and product managers • Mentor and guide junior team members on architectural principles, best practices, and effective ways of working

🎯 Requirements

• Bachelor's degree in Computer Science or related field or equivalent experience • Strong understanding of programming concepts • Experience in at least one object-oriented programming language: Python, Scala, or Java • 3+ years of direct experience working with Python • Experience with high-volume distributed data processing in Spark • Strong working knowledge of SQL, databases (MySQL, Redshift, Athena, Trino), data modeling, and modern data warehouse/lakehouse management • Excellent troubleshooting and analysis skills • Willingness to learn and work with new technologies in a dynamic environment • Strong communication skills in person and via virtual mediums • Strong time management skills and self-driven work ethic • Background check required • Experience with AWS cloud services is a plus • Experience with event-driven architecture and streaming data pipelines is a plus

🏖️ Benefits

• Flexible work environment • Individuality, fun, and talent valued equally

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