Data Pipeline Reliability Engineer (Python/PySpark)

Data Pipeline Reliability Engineer (Python/PySpark)

Full-Time 60000 - 75000 £ / year (est.) No working from home possible
Hexegic

At a Glance

  • Tasks: Ensure data accuracy by maintaining and debugging data pipelines.
  • Company: Hexegic, a forward-thinking data analytics company in Greater London.
  • Benefits: Salary between £50,000-£60,000, professional development budget, wellness programme, and hybrid work options.
  • Other info: Great opportunity for career growth in a supportive environment.
  • Why this job: Join a dynamic team and make a real difference in data reliability.
  • Qualifications: Proficiency in Python and PySpark, with a passion for data analytics.

The predicted salary is between 60000 - 75000 £ per year.

Hexegic is seeking a data analytics professional in Greater London to ensure that customers work with correct data by responding to data health failures.

The role involves maintaining pipelines, debugging, and making code changes.

Ideal candidates should be comfortable with Python and Py Spark, and will enjoy a salary between £50,000 and £60,000, along with a professional development budget, wellness program, and hybrid working arrangements.

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Hexegic

Contact Details:

Hexegic Recruitment Team

We think you need these skills to ace Data Pipeline Reliability Engineer (Python/PySpark)

Python
SQL
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration