SWE - Wireless Data Engineer, Cellular Product Analytics - WTE

Munich, Bavaria-Bayern, Germany
Software and Services


Weekly Hours: 40
Role Number:200284734
Wireless Technologies & Ecosystems (WTE) team is looking for an exceptional Data Engineer with a passion for cellular technologies, statistical analysis and designing end to end frameworks to gather analytical insights. You will develop and maintain solutions for structured and unstructured data mining across multiple data sources. Services you build will enable anomaly detection and complex analytics to improve cellular products. It is an opportunity to build systems which crunch TBs of data producing ultra-fast data sets. Our team is responsible of cellular product data analytics. We are a multidisciplinary team covering different competences including cellular engineering, data engineering, data science, data analytics, software development and machine learning. Ideal candidate should have strong background in data engineering, excellent coding skills and working knowledge in LTE and NR.

Key Qualifications

  • Development experience with Python, Java or Scala
  • Experience with Big Data systems, pipelines, data processing and data visualization
  • Proficient at schema design, data modeling concepts and SQL
  • Working experience in cellular technologies (3GPP 4G and 5G). Able to provide data insights and performance assessment of functionalities related to cellular modem
  • Good understanding of cloud methodologies and experience with AWS or GCP tool suites and services
  • Hands-on experience in deploying compute jobs on Kubernetes or Virtual Machines
  • Experience in Search solutions (ElasticSearch/Solr/Splunk) and OLAP (Snowflake, Presto or similar)
  • Proven track record setting up large scale ETL pipeline and data monitoring system to make sure overall pipeline is healthy
  • Strong ability and enthusiasm to learn new technologies and programming languages
  • Excellent communication and cross-functional collaboration skills
  • Good data storytelling and communication skills to both technical and non-technical audiences
  • Comfortable with quick context switching between several projects
  • Excellent debugging and problem solving skills


Building and enhancing Apple’s analytics & diagnostics pipeline to enable data mining of tabular and text data from modem and worldwide cellular operators at scale. Influence and challenge the existing pipelines to aid quicker and scalable insights. Building solutions to unleash the potential of data mining for behavioral analytics, performance analytics and anomaly detection. You will interact with various software engineering teams and Data Scientists contributing to key cellular product decisions. You will provide cellular product performance data and will present analytical insights

Education & Experience

B.Eng or M.S. or PhD Degree in Computer Science/Informatics, Computer/Electrical Engineering or equivalent

Additional Requirements