Adikteev is an AdTech company that helps mobile app publishers grow their revenue through targeted advertising. Our clients are mostly mobile gaming leaders but also span e-commerce, on-demand services, and entertainment apps. WHAT YOU WILL DO We are looking for a Senior Data Engineer to take ownership of our ML Platform. Our mission is to deliver efficient, scalable, and impactful machine learning systems — models that directly influence billions of real-time decisions per day.
As a Senior member, you won't just "execute" tasks. Architect, scale, and maintain our data infrastructure, ensuring it meets the rigorous demands of real-time and batch ML workflows.
Make sure data is always available: oversee processing, storage, aggregation, and API development.
Streamline our data processes by integrating efficient testing, monitoring, alerting, and error recovery.
Design and implement our feature store to centralize feature discovery, storage, and serving and build robust feature engineering pipelines.
Build and optimize highly scalable pipelines using Apache Airflow and Apache Spark,



focusing on high reliability and cost-efficiency.
Contribute to innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.
to accelerate development cycles and stay at the forefront of engineering productivity.
Drive best practices for data quality, CI/CD for data, and technical documentation. WHO YOU ARE You might be a great fit for our Machine Learning team if you have experience in several of the following areas — don’t worry if you don’t check every box , we’re happy to consider strong candidates who are eager to learn and grow:
Experience : Proven track record as a Data Engineer, ideally with a focus on MLOps and production-related challenges (latency, throughput, server cost optimization...).
Hands‑on expertise with Apache Spark (tuning, scaling), Airflow (complex DAG orchestration). Kafka streaming and Kubernetes ar

📌 Senior data engineer aws (España)
🏢 Adikteev
📍 España