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About Us

Ubermetrics is a leading media and data intelligence platform, focused on research and development. It is part of the UNICEPTA Group, one of the global market leaders for media and marketing intelligence.

The Ubermetrics platform processes over 50,000 content pieces per minute from over 460 million sources. It enables our dedicated monitoring and analytics teams within the UNICEPTA Group to leverage state-of-the-art data alerting, monitoring and analysis solutions for Communication and Marketing professionals from leading global companies and organizations. For these, UNICEPTA’s actionable insights are also a basis for strategic decisions in risk management, supply chain management or compliance.

Team and Mission

As a data engineer, you create data products for our media analysis and intelligence services. You join a product-oriented cross-functional data team. Together with MLOps engineers, you enable the team to productize deep learning models designed by our data scientists. You focus on delivering high-throughput data pipelines. Moreover, you support the data scientists optimizing machine learning models for production deployments. Ideally, you bring a passion for owning data products in a high-bandwidth communication setup between all technical roles and product management.

 

Your profile

  • Excellent skills in Python and Java
  • Experience with data-intensive systems in cloud environments, including data analytics and data warehousing
  • Experience in designing and querying scalable data storage systems (e.g., Postgres, BigQuery, Elastic Search, Kafka, Pub/Sub, Snowflake)
  • Sound knowledge of data processing / ETL concepts, orchestration (e.g., Apache Beam, Dataflow) and data modeling with large-scale datasets
  • Familiar with modern cloud concepts such as containers, Kubernetes, and serverless computing

Nice to have:

  • Experience and passion in designing and implementing systems for Natural Language Processing and Information Retrieval applications
  • Experience with MLOps workflows and the life cycle of machine learning models
  • Experience optimizing data structures for high volume text data and text embeddings
  • Familiar with data visualization, dashboarding, and exploration tools (e.g., DataStudio, Vega, Pandas/Seaborn, etc.) is a plus
  • Familiar with the Google Cloud Platform
  • Understanding of the needs of NLP-based Machine Learning Applications
  • Understanding of modern deep learning frameworks such as Tensorflow, PyTorch, Huggingface or ONNX

We offer

  • Exciting technical challenges and great opportunities to learn, grow and contribute.
  • A welcoming, friendly, supportive, and multicultural working environment.
  • The chance to bring in your ideas and be creative in a team.
  • A focus on building an excellent product by doing things the right way.
  • Flexible working hours and help with relocation from abroad.
  • Work in an expanding and future-oriented company with a global perspective
  • Decide your own remote working balance – 100% is possible
  • Flexible vacation and working time policies
  • 40+ passionate engineers working on products they are proud of
  • Possibility for personal growth and development
  • Lots of responsibility and a real chance to make an impact – shape our future products and services for an international client base