Hybrid Data Engineer: SQL & Data Architecture

Hybrid Data Engineer: SQL & Data Architecture

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Carbon 60

At a Glance

  • Tasks: Develop and maintain database solutions while migrating data from legacy systems.
  • Company: Join Carbon60, a leader in innovative data solutions.
  • Benefits: Enjoy a hybrid work model with competitive pay and growth opportunities.
  • Other info: Collaborate with diverse teams in a dynamic environment.
  • Why this job: Make a real impact by shaping data strategies and governance.
  • Qualifications: Strong SQL skills, advanced Excel knowledge, and database design understanding.

The predicted salary is between 40000 - 50000 Β£ per year.

Carbon60 is seeking an experienced Data Engineer to join our Customer Support and Project Teams on a 12-month hybrid contract in Stevenage.

You will develop and maintain database solutions to store and retrieve business-critical information and migrate data from legacy systems.

The role requires strong SQL, advanced Excel, and solid understanding of database design.

You will work with stakeholders across the business to define data strategies and ensure data governance meets current and future #J-18808-Ljbffr

Hybrid Data Engineer: SQL & Data Architecture employer: Carbon 60

At Carbon 60, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in Harlow, this hybrid role offers flexibility and the chance to engage with a dedicated Quality team, ensuring your contributions directly impact our commitment to quality excellence. With opportunities for professional growth and development, joining us means being part of a forward-thinking company that values your expertise and dedication.

Carbon 60

Contact Details:

Carbon 60 Recruitment Team

We think you need these skills to ace Hybrid Data Engineer: SQL & Data Architecture

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