Das ist der Job
ph3About the Role /h3 pOur analytics ML pipelines are the heartbeat of this platform.
Darum lohnt es sich
Built in Python and Apache Spark, they run in Databricks workspaces. /p pWe are looking for a Senior Data Pipeline Engineer freelancer (≥ 80 %, start as soon as possible) for 6 months (possible conversion into FTE) to support our team during a crunch time driven by customer demand. /p pWould you like to help us make the advertising industry ready for the 1st-party era?
Share 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 h3Qualifications /h3 ul li(Must have) Expert-level Python and PySpark/Scala Spark experience /li li(Plus) Rust proficiency (we use it for backend services and compute-heavy client-side modules) /li li(Must have) Bachelor/Master/PhD in Computer Science, Data Engineering, or a related field and 5+ years of professional experience /li li(Must have) Proven track record building resilient, production‑grade data pipelines with rigorous data‑quality and validation checks /li li(Plus) Working knowledge of ML lifecycle and model serving; familiarity with techniques for audience segmentation or look‑a‑like modelling is a big plus /li li(Must have) Data‑platform skills: operating Spark clusters, job schedulers, or orchestration frameworks (Airflow, Dagster, custom schedulers) /li /ul /p Then we’d love to hear from you! /p h3Responsibilities /h3 ul 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.
