top of page


We are seeking a highly skilled and experienced data engineer to join our team with expertise in Semantic Analytics. The successful candidate will be responsible for designing, developing, and maintaining our data infrastructure to support advanced analytics and uncover valuable insights from our data.


Work from Home


Full Time

What You’ll Do

  • Design and develop data pipelines and ETL processes to support semantic analytics and machine learning workflows.


  • Develop and maintain data models to improve data quality and optimize data storage.


  • Collaborate with data scientists and analysts to understand business requirements and identify opportunities to improve data infrastructure and analytics processes.

  • Implement and maintain big data technologies such as Hadoop, Spark, and NoSQL databases.


  • Use natural language processing (NLP) techniques to analyze and extract information from unstructured data sources.


  • Stay up-to-date with the latest developments in semantic analytics and machine learning to ensure the company remains at the forefront of data engineering innovation.

Who You are

  • Bachelor's or Master's degree in computer science, data engineering, or a related field.


  • Proven experience in data engineering and semantic analytics, including experience with big data technologies such as Hadoop, Spark, and NoSQL databases.


  • Experience with data modeling, ETL processes, and data warehousing.


  • Strong problem-solving and analytical skills with a passion for data engineering.

  • Excellent communication skills and ability to collaborate with cross-functional teams.


  • Ability to work independently and manage multiple projects simultaneously.


  • Knowledge of cloud computing platforms such as AWS or Azure is a plus.

bottom of page