The Opportunity:
We’re looking for a mid level Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.
Key Responsibilities:
Design and develop high volume data processing pipelines across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
Implement monitoring, alerting, and data quality checks to ensure pipeline reliability and data accuracy
Contribute to architectural decisions and technical design discussions for new data platform initiatives
Participate in code reviews and contribute to team standards for data quality, testing, and documentation
Support and collaborate with data scientists, analysts,
product managers and integrating teams
Job Qualifications:
Bachelor's degree in Computer Science or related field or equivalent experience
5+ year of professional experience in data engineering
Expertise in SQL, databases (MySQL / Redshift / Athena), Data modeling
Workflow orchestrators (Dagster, Airflow, Prefect)
Experience working with Python
Strong communication skills both in person and via virtual mediums
ETL/ELT design patterns
Experience with high volume distributed data processing in Spark
Experience with AWS cloud services
Background check required
Nice to have:
Experience with large-scale aggregation and geospatial data (H3 / Quadkey/S2), or with multi-source data integration, is a plus
About
Ookla, an Accenture company, is a general leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched net
📌 Data Engineer II (España)
🏢 Ookla
📍 España