Senior Data Engineer

Data Engineer in the Adtima team build and operate the data backbone of our ads ecosystem, turning raw logs into training-ready features and production-grade model scores, and working closely with Data Scientists to make experimentation fast and reliable. They also support product teams with data for analytics tasks.

What you will d

• oBuild and operate the online serving data pipeline end-to-end, from raw log ingestion and feature extraction to model scoring and low-latency serving for Deep Learning models that drive ads distribution
• ;Collaborate with Data Scientists to assess new requirements, surface data and resource constraints, propose alternatives, and proactively source new data to improve model quality
• ;Connect and process data across teams, including dev and product, to enable shared use and analytics
• ;Optimize large-scale storage and feature serving to sustain high-throughput query and aggregation cycles
• ;Set up monitoring, alerting, and dashboards so pipeline issues are caught early and stakeholders can track data quality, model performance, and system health
• ;Establish solid design and engineering best practices for both technical and non-technical stakeholder

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What you will ne

• ed2+ years of working experience in Big Data and production data pipeline
• s;Strong command of Python for high-performance data processing; Scala is a plu
• s;Proficiency with orchestration and deployment workflows: Airflow, Docker/containerization, CI/CD, and Kubernetes (K8s
• );Proven ability to optimize storage and query performance on columnar stores (e.g., ClickHouse) through partitioning, indexing, and compressio
• n;Experience building dashboards and observability with tools such as Streamlit or Metabas
• e;Solid skills in data ingestion, transformation, and analysis, and in synchronizing data across diverse databases for batch and stream processin
• g;A proactive, research-driven mindset toward the global technology landscape and a strong willingness to adopt emerging technologies, AI-driven tools, and AI-native development in the workflo
• w;Intellectual curiosity, effective communication, and strong stakeholder collaboration skill

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Nice to h

• aveWorking knowledge of data science / ML workflows and the model lifecycle (training, evaluation, serving), and how data engineering decisions affect model accura
• cy;Domain knowledge of digital ads or experience in the advertising fie
• ld;Experience deploying and serving LLMs in production (e.g., inference optimization, scalable serving infrastructure, latency/throughput tunin