At a Glance
- Tasks: Ensure data health across critical pipelines and respond to failures swiftly.
- Company: Hexegic, a forward-thinking company in the UK focused on data reliability.
- Benefits: Hybrid working, clear development budget, and opportunities for growth.
- Other info: Join a dynamic team and gain valuable skills in data engineering.
- Why this job: Make a real impact by keeping analytics tools reliable and efficient.
- Qualifications: Experience with Python, PySpark, and a knack for debugging.
The predicted salary is between 40000 - 55000 £ per year.
Hexegic in the United Kingdom is seeking a Data Health Engineer to ensure data health across critical pipelines.
You will be first to respond to failures, read code, and implement fixes to keep analytics tools reliable.
Working with Python and Py Spark, you will set up health checks, triage incidents, and communicate outages to end users.
This role offers hybrid working and a clear development budget.
Eligible for UK security clearance is required.
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Data Pipeline Engineer — Hybrid, Health Checks & Debugging in London employer: Hexegic
Hexegic is an exceptional employer that prioritises the professional growth and well-being of its employees, offering a generous £5,000 annual development budget and a comprehensive wellness programme including private healthcare. With a collaborative work culture in London, employees are encouraged to contribute to innovative projects in a secure environment, ensuring both personal and professional fulfilment while working alongside a talented team dedicated to making a meaningful impact.
