Data Engineer II: Build Scalable Pipelines & AI-Driven Data

Data Engineer II: Build Scalable Pipelines & AI-Driven Data

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Elsevier

At a Glance

  • Tasks: Build and maintain scalable data pipelines using Python, SQL, and Spark.
  • Company: Join Elsevier, a leading tech company in Greater London.
  • Benefits: Competitive salary, collaborative environment, and skill enhancement opportunities.
  • Other info: Great chance to grow your career in a dynamic tech setting.
  • Why this job: Work with senior engineers and dive into AI and cloud technologies.
  • Qualifications: 2-3 years of experience in data or software engineering.

The predicted salary is between 80000 - 100000 Β£ per year.

Elsevier is looking for a Data Engineer II to join their team in Greater London.

This position is ideal for candidates with 2–3 years of experience in data or software engineering.

You will be responsible for building and maintaining data pipelines, leveraging technologies like Python, SQL, and Spark.

The role offers an opportunity to work closely with senior engineers and engage in a collaborative environment, enhancing your skills in software design and development.

Exposure to AI and cloud technologies is a plus.

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Elsevier

Contact Details:

Elsevier Recruitment Team

We think you need these skills to ace Data Engineer II: Build Scalable Pipelines & AI-Driven Data

Python
Problem-Solving Skills
SQL
Data Engineering
Data Pipeline Development
API Integration
ETL/ELT Processes