pul liOwn, Design, Build Operate Data Pipelines – Take responsibility for our Spark-based pipeline, from development through production and monitoring. /li liAdvance our ML Models – Improve and productionise models for AdTech use‑cases such as lookalike modelling and demographics modeling. /li liAI‑Powered Productivity – Leverage LLM‑based code assistants, design generators, and test‑automation tools to move faster and raise the quality bar. /li liShare your workflows with the team /li liDrive Continuous Improvement – Profile, benchmark, and tune Spark workloads, introduce best practices in orchestration observability, and keep our tech stack future‑proof. /li /ul h3Requirements /h3 ul liBachelor/Master/PhD in Computer Science, Data Engineering, or a related field and 5+ years of professional experience. /li liExpert‑level Python and PySpark/Scala Spark experience /li liProven track record building resilient, production‑grade data pipelines with rigorous data‑quality and validation checks. /li liData‑platform skills: operating Spark clusters, job schedulers, or orchestration frameworks (Airflow, Dagster, custom schedulers). /li liWorking knowledge of ML lifecycle and model serving; familiarity with techniques for audience segmentation or look‑a‑like modelling is a big plus. /li liRust proficiency (we use it for backend services and compute‑heavy client‑side modules). /li /ul /p #J-18808-Ljbffr
