Data Engineer

  • €450-€500 per day
  • 6 Month Initial Contract
  • Hybrid Working

Are you passionate about data engineering and looking to work with cutting-edge technology in a large financial services company? We are recruiting for a talented Data Engineer to join one of our key clients. This role offers the chance to work on innovative projects, leveraging cloud-based solutions, data lakes, and AI/ML technologies.

Main Duties:

  • Develop and implement large-scale data solutions in the cloud.
  • Move data to new cloud-based solutions and build data lakes.
  • Design, implement, and optimize graph data models to enhance machine learning models.
  • Integrate graph data from various internal and external sources.
  • Manage and maintain graph databases.
  • Collaborate with the AI/ML Delivery team on advanced projects involving graph databases and AI models.
  • Develop applications using Python.
  • Work with AWS infrastructure and data pipeline technologies.
  • Participate in the model development and deployment lifecycle using MLOps in the Cloud.

Key Technologies and Skills:

  • Graph Databases: Graphdb, Neo4j, Amazon Neptune, JanusGraph.
  • Programming: Python, SQL.
  • Cloud Platforms: AWS (S3, CFTs, EC2, RDS/Postgres, Snowflake, Airflow).
  • Graph Query Languages: SPARQL, Gremlin, Cypher.
  • Machine Learning: Experience with graph algorithms and graph-based machine learning.
  • Data Management: Experience in data transformation pipelines and multiple database platforms.
  • Education: Bachelor's or master's degree in computer science, Data Science, or related field.

The Ideal Candidate:

  • Passionate about data and technology with an interest in AI/ML.
  • Highly motivated, determined, and a quick learner.
  • Possesses an analytical and consulting mentality.
  • Excellent verbal and written communication skills.

Apply now and be part of a dynamic team and global company!

Anthony  McElearney's our  Associate Consultant Data & Analytics

Associate Consultant Data & Analytics

Anthony McElearney

Associate Consultant – Data & Analytics

[email protected]
+353 1 513 5202