All new
Data Science
jobs, in one place.

Updated daily to help you be the first to apply ⏱

Big Data Engineer (m/w/d)
  • Spark
  • Amazon Web Services
  • Machine Learning
  • Big Data
  • Apache Spark
  • Scala
  • Kafka
01067 Dresden
111 days ago
LogMeIn Dresden's Real-Time Communication Analytics and Intelligence (RTC-AI) Team does big data engineering, analytics and machine learning with Apache Spark running in Amazon Web Services. We collect and process data in real-time from highly distributed, highly available systems that provide video conferencing services to millions of users worldwide. These billions of data points per day need to be collected and processed reliably and continuously.We are looking for a highly motivated, experienced and dedicated big data infrastructure engineer who supports us in keeping our systems up and running. You are driven by continuous improvement to minimise downtime, improve automation and ensure scalability to deal with a fast-growing data landscape.


  • You will develop, extend and maintain a wide variety of infrastructure components needed for stream processing in an AWS environment primarily based on Apache Spark and Kafka
  • You will continuously improve and extend the end-to-end data chain starting from ingestion, over processing to persistence
  • You enjoy exciting challenges and work scientifically on cutting-edge technology
  • You will collaborate with many distributed and international teams
  • Your ideas and work will continuously improve our real-time communication platform which is used by several million users per day
  • You are a subject matter expert and guide junior team members


  • Proficient in running state-of-the-art big data technologies
  • Proficient in at least 2 major programming languages
  • Experience working with AWS is a plus
  • Experience with work in an agile environment, supporting junior roles, is beneficial


  • Kubernetes
  • Kafka
  • Monitoring and alerting technologies such as Prometheus, Grafana, InfluxDB or similar
  • Workflow technologies such as Argo, Airflow or similar
About:LogMeIn simplifies how people connect with each other and the world around them to drive meaningful interactions, deepen relationships, and create better outcomes for individuals and businesses. One of the world’s top 10 public SaaS companies, and a market leader in communication & conferencing, identity & access, and customer engagement & support solutions, LogMeIn has millions of customers spanning virtually every country across the globe. LogMeIn is headquartered in Boston with additional locations across North America, Europe, Middle East, Asia and Australia.
Be Accountable - even when no-one is looking
Thrive Together - greatness comes from unlocking each other’s potential
Advance Confidently - we find opportunity and act on it
Collaborate Openly - our whole is greater than the sum of our parts
Engage Fearlessly - we speak up and listen

    Related Jobs

  • Innovative Data Scientist - Pharmceuticals (m/f/d)

    • Pandas
    • scikit-learn
    • PyTorch
    17 days ago
  • Manager (w/m/d) Data Scientist – Consulting (Financial Services)

    • Data Mining
    • Deep Learning
    • Java
    Ernst & Young
    Frankfurt am Main
    20 days ago
  • (Senior) Data Analyst (m/w/d) im Risikocontrolling

    • SAS
    • SQL
    • Python
    Société Générale
    26 days ago
  • Digital Health Data Scientist (m/w/d)

    • PyTorch
    • Perl
    • SQL
    5 days ago
  • Consultant Data Scientist (m/f/d)

    • SQL
    • Machine Learning
    7 days ago