Data Engineer (Python)

☞ UBS

View: 118

Update day: 10-04-2024

Location: Zürich Zürich ZH

Category: Finance / Bank / Stock Arts / Design

Industry:

Job type: 100%, CDI, Temps de travail : 90-100%

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Job content

Critères de l’offre

Description du poste

Are you analytical and passionate about building and using data-driven decision making systems? Do you have an innovative engineering mindset? Do you enjoy using cutting edge technology and developing a variety of solutions to achieve your goals?
We are looking for a hands-on Data Engineer who would join UBS Group Technology in the implementation of a new IT Data Model and the build-out of an Enterprise Knowledge Graph to make a step change in the management of technology in the bank.

You will:
  • build an enterprise knowledge graph linking our data
  • ensure Data Architecture for IT enables transition to real time access to data
  • Institute ’knowledge-as-a-service’ approach - allowing management of the technical landscape
Description du profil

  • a great track record delivering hands-on development and design of data platforms; ideally API-driven data/knowledge-as-a-service solutions
  • interest in linked data and Semantic Web technologies as enablers for data science and machine learning
  • command of application, data and infrastructure architecture disciplines
  • experience working in delivery-oriented agile teams
Desired:
  • strong command of Python. Other languages are desirable (C++, Java, etc)
  • command of linked data concepts and Semantic Web standards (RDF, RDFS, OWL, SPARQL)
  • hands-on experience with: SPARQL, SQL, Java, Python, Node.js
  • exposure to cloud development with Azure and or AWS
  • experience with graph databases (e.g. GraphDB, Anzograph, Jena, Neo4J)
  • experience designing RESTful and GraphQL APIs
  • familiarity with Data Warehousing, logging, alerts and infrastructure set up
  • experience building modern solutions (Kafka data streaming, Azure cloud-native)
  • prior experience as a Data Engineer or Data Architect
  • financial Services background is advantageous, but not mandatory
  • experience delivering solutions for Data Analytics users of e.g. Tableau, PowerBI
  • experience with Machine Learning and Artificial Intelligence is a plus
  • you are willing to take full ownership of the problem and code, and can hit the ground running and deliver great solutions
  • a strong thinker that sees problems around the corner and resolves them
  • adept in communicating with both technical and non-technical
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Deadline: 25-05-2024

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