Our client, a rapidly growing AI start-up in Marketing Tech, is helping clients to grow their customer base into valuable relationships via Predictive Analytics.
They are now looking for a Senior Data Engineer (m/f/d), based in Hamburg or Berlin, for their Predictions Management Team. In this position, you will be working on their clients‘ high-load prediction infrastructure and improve their data pipelines, APIs, big data performance and also work on making ground-breaking machine learning ideas available to the world.
Tasks & Responsibilities:
You will work on the machine learning part of their clients‘ customers platform and develop software that contributes to their ETL, data preparation, analytics and prediction features.
You ensure creation of high quality code following a test-driven approach and strive for performant implementation of data pipelines
You take part in our clients‘ agile development process and work on continuously improving their processes.
Around 5+ years of experience in data engineering
First experience with functional programming
Good understanding of data modeling, algorithms and data transformation techniques
Proven experience in working with the Python data science stack (Numpy, Pandas, PySpark)
Experience in developing software for a data-heavy, real-time, high-load company is a big plus
Experience in planning, designing, developing, and managing software in a cloud environment is a big plus
Experience with other distributed data stores and streaming applications (Cassandra, Kafka, Flink, Druid, or similar) is a plus
Experience with Elasticsearch (or Solr) and Kubernetes and event-driven architectures is a plus
Experience in Java or Scala software development
What’s in for you
Work on the forefront of AI-driven software
Play a role in defining the premiere new standard for the marketing industry with a lot of momentum: the Customer Data Platform (CDP)
Become a part of a fun and international team of inspiring personalities within a firm that fosters your continuous professional development, and enables you to take part in conferences and courses
You can work either from our clients office in Hamburg or Berlin and from home several days per week
Interested? Then send over your CV @ Walter Witthüser (email@example.com)