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Adikteev
Senior Data Engineer
Remote · Full time · Senior level
$89.8k–$101k / year
About the role
Take ownership of the ML Platform to design, deploy, and evolve predictive models powering core adtech systems. Architect infrastructure enabling ML models to scale, perform, and deliver value at high velocity.
What you’ll do
• Architect and maintain data infrastructure for real-time and batch ML workflows. • Ensure data availability via processing, storage, aggregation, and API development. • Integrate testing, monitoring, alerting, and error recovery for data processes. • Design and implement feature store and robust feature engineering pipelines. • Build and optimize scalable pipelines using Apache Airflow and Spark.
What you’ll bring
• Proven Data Engineer experience with MLOps focus. • Hands-on with Apache Spark and Airflow; Kafka and Kubernetes a plus. • AI-native developer with Python and Java/Scala skills. • Experience with tabular data and feature engineering. • Fluent English and ability to communicate complex architecture.
Life at Adikteev
4.5-day work week, longevity bonus, healthcare plan, lunch vouchers, mental health support, flexible remote policy, team events, inclusive parental leave.
About Adikteev
Adikteev is a global AdTech company helping mobile app publishers grow revenue through targeted advertising, operating from multiple international offices with over 120 employees.