Data Engineer

  • Software Engineering Circle
  • Lisbon, Portugal

Data Engineer

Job description

Do you want to become a part of an experienced and highly motivated team? Do you want to have a meaningful impact in the financial services industry? If so, then we have a great opportunity for you.


We're looking for a Data Engineer to join our RegTech startup.


You're a strong team player, able to communicate, and proactive with an entrepreneurial mindset. You solve problems with a positive, "can-do" attitude and you're used to analyzing multiple scenarios and selecting the most suitable path. If you're also a fast learner and passionate about technology, you're the perfect candidate for our RegTech company.


What you will be tasked to do:

  • Apply state-of-the-art AI and Deep Learning technology to new product features
  • Define and adapt our Natural Language Processing (NLP) architecture
  • Build robust, industrial scale data processing pipelines
  • Implement technology between latest AI research and product development
  • Validate and test models in downstream tasks


What we offer you:

  • Develop state-of-the-art machine learning and AI solutions for products
  • Plenty of room to advance and learn and apply new technologies
  • Great office in the heart of Lisbon
  • Flexible work arrangements, especially in COVID-19 times
  • Budget for your own device
  • Family-friendly workplace
  • Inclusive work environment
  • Passionate people around an exciting global product
  • A team with an entrepreneurial mindset, hunger for speed and immediate results

Requirements

  • A background in engineering, data science or linguistics
  • Experience with data pipelines, model validation and downstream testing
  • Some experience in Natural Language Processing and working with language data
  • Understanding and experience in Python and computational/NLP libraries like Numpy, Tensorflow, PyTorch, NLTK, Spacy and Jupyter
  • Basic understanding of deep learning, knowledge representation and reasoning
  • Experience in industrial data processing and machine learning architecture is a strong plus (Spark, Airflow, UIMA)
  • Experience with graph databases, knowledge graphs, ontologies or logic programming is a strong plus (Neo4j, Stardog, Grakn, OWL, Prolog)
  • Excellent interpersonal and communication skills with a good command of written and spoken English. German would also be an advantage.


Join Apiax and be a part of something big.