NLP Data Engineer

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Amsterdam Zuid / €80000 - €95000 annum

INFO

Salary
SALARY:

€80000 - €95000

Location

LOCATION

Amsterdam Zuid

Job Type
JOB TYPE

Permanent

Data Engineer - Unstructered Data | Text Data | NLP

Location: Amsterdam / Hybrid

Department: IT / Data-Team

Reports To: Data Engineering Lead

Up to: €95.000

Job Summary:

This global law firm is seeking a Data Engineer to join their team and help build their new data engineering capabilities. This greenfield opportunity will allow you to design and build a modern data processing architecture using the Microsoft Azure data stack. You will be part of a team of data engineers creating scalable and efficient data pipelines that will serve as the backbone for their data-driven decision-making processes.

Key Responsibilities:

  • Design and construct scalable data pipelines to support ongoing data analysis, reporting, and machine learning efforts.
  • NLP and LLM
  • Implement data solutions on Azure, ensuring optimal data extraction, transformation, and loading (ETL) processes.
  • Collaborate with business analysts and data scientists to gather requirements and translate business needs into technical execution.
  • Ensure data solutions support the requirements of the business and allow for the flexible development and scaling of the data platform.
  • Use engineering best practices like DevOps and CI/CD to deploy solutions.
  • Build solutions using MS Fabric or other low-code platforms (TimeXtender) for self-service BI in the business.
  • Build advanced solutions using Databricks to analyze and process unstructured data in preparation for AI solutions.
  • Stay abreast of industry trends and introduce new technologies and approaches to drive the advancement of our data platform.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Strong understanding of data structures, data modeling, and data warehousing principles, with hands-on experience in the Microsoft Azure data stack.
  • Expertise in the Microsoft data stack is necessary. Experience with TimeXtender would be a bonus. Experience with Databricks is required.

Why Join:

  • Be part of a pioneering team working on a greenfield project.
  • Opportunity to work with cutting-edge technologies and shape the future of data infrastructure.
  • Collaborative and innovative work environment.

CONTACT

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