Hybrid Data Quality Engineer - CI/CD & Automation in London

Hybrid Data Quality Engineer - CI/CD & Automation in London

London Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Ensure data quality and automate testing processes in a dynamic team.
  • Company: Join a leading energy company focused on innovation and sustainability.
  • Benefits: Attractive salary, flexible working options, and opportunities for skill development.
  • Other info: Exciting career growth in a fast-paced, tech-driven environment.
  • Why this job: Be part of a team that drives data excellence and automation in the energy sector.
  • Qualifications: Experience in Python, SQL, and CI/CD with a passion for data quality.

The predicted salary is between 50000 - 65000 Β£ per year.

Energy Jobline ZR is seeking experienced Data Quality Engineers in Greater London. This role requires expertise in Data and ETL pipeline testing, with strong proficiency in Python and SQL. Candidates should understand Databricks and Azure ADF, and have a strong foundation in test automation techniques and CI/CD.

The successful candidate will be part of the Enterprise Data Platform team, responsible for quality throughout the product lifecycle and enhancing automation practices.

Hybrid Data Quality Engineer - CI/CD & Automation in London employer: Energy Jobline ZR

Energy Jobline ZR is an exceptional employer, offering a dynamic work environment in Greater London where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Databricks and Azure ADF. Our inclusive culture fosters teamwork and creativity, making it a rewarding place for Data Quality Engineers to contribute meaningfully while advancing their careers.

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Contact Details:

Energy Jobline ZR Recruitment Team

We think you need these skills to ace Hybrid Data Quality Engineer - CI/CD & Automation in London

SQL
Python
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Automation
Data Engineering